**Book Chapters**

- 古月 敬之, "第21章 21.1 自己組織化機能局在型ニューラルネットワーク", 電気学会編，「進化技術ハンドブック 第II卷応用編：情報・通信システム」，pp.396-401，東京，近代科学社，11，2011.
- 古月 敬之, "第21章 21.4 非線形多項式モデルの同定", 電気学会編，「進化技術ハンドブック 第II卷応用編：情報・通信システム」，pp.414-419，東京，近代科学社，11，2011.
- B. Chen and J.Hu, "Protein Structure Prediction Based on HP Model Using an Improved Hybrid EDA", in book entitled
*Exploitation of Linkage Learning in Evolutionary Algorithms - ALO3*, Y.P. Chen, Eds, pp.193-214, Springer-Verlag, Berlin, GERMANY, 2010. - 古月 敬之, "第二章 線形特性を有するニューラルネットワーク", 渡辺桂吾編著, 「ニューラルネットワーク計算知能」, pp.27-49, 森北出版株式会社, 東京, 2006
- J.Hu and K.Hirasawa, "A Method for Applying Neural Networks to Control of Nonlinear Systems", in book entitled
*Neural Information Processing*: Research and Development, J.C.Rajapakse and L.Wang, Eds, pp.351-369, Springer, Berlin, GERMANY, 2004. - K.Kumamaru, J.Hu, K.Inoue and T.Soderstrom, " Statistical Methods for Robust Change Detection in Dynamical Systems with Model Uncertainty ", in book entitled
*Statistical Methods in Control and Signal Processing*, T. Katayama and S. Sugimoto, Eds., pp.453-479, Mercel Dekker Inc., New York, USA, 1997.

**
2018 Journal Papers**

- B. Zhou, W.Li and J.Hu, "A Coarse-to-Fine Two-step Method for Semi-Supervised Classification Using Quasi-Linear Laplacian SVM",
*IEEJ Trans. on Electrical and Electronic Engineering C,*Vol.14, No.3, March, 2019. - P. Liang, W.Li, H.Tian and J.Hu, "One-Class Classification Using Support Vector Machine with Quasi-Linear Kernel",
*IEEJ Trans. on Electrical and Electronic Engineering C,*Vol.14, No.3, March, 2019. - P. Liang, F. Zheng, W.Li and J.Hu, "Quasi-Linear SVM Classifier with Segmented Local Offsets for Imbalanced Data Classification",
*IEEJ Trans. on Electrical and Electronic Engineering C,*Vol.14, No.2, Feb., 2019. - P. Liang, W.Li and J.Hu, "Oversampling the Minority Class in a Multi-Linear Feature Space for Imbalanced Data Classification",
*IEEJ Trans. on Electrical and Electronic Engineering C,*Vol.13, No.10, pp.1483-1491, Oct., 2018.

**2018 Proceeding Papers**

- P. Liang, W. Li, Y. Wang and J. Hu, "One-Class Classification using Quasi-Linear Support Vector Machine", in
*Proc. of IEEE Inter. Conference on Systems, Man and Cybernetics*(SMC'2018) (Miyazaki), Oct., 2018, pp.658-663. - P. Liang, X. Yao and J. Hu, "A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM", in
*Proc. of IEEE Inter. Conference on Systems, Man and Cybernetics*(SMC'2018) (Miyazaki), Oct., 2018, pp.1637-1642. - Y. Cui, Y.P. Sun and J. Hu, "A Convolutional AutoEncoder Method for Anomaly Detection on System Logs", in
*Proc. of IEEE Inter. Conference on Systems, Man and Cybernetics*(SMC'2018) (Miyazaki), Oct., 2018, pp.3053-3058. - L.J.V. Miranda and J. Hu, "Feature Extraction using a Mutually-Competitive Autoencoder for Protein Function Prediction", in
*Proc. of IEEE Inter. Conference on Systems, Man and Cybernetics*(SMC'2018) (Miyazaki), Oct., 2018, pp.1333-1338. - P. Liang, X. Yuan, W. Li and J. Hu, "An Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine", in
*Proc. of Inter. Conference on Pattern Recognition*(ICPR'2018) (Beijing), August, 2018, pp.746-751. - Y.P. Sun, Y. Cui, J. Hu and W.J. Jia, "Relation Classification using Coarse And Fine-Grained Networks with SDP Supervised Key Words Selection", in
*Proc. of the 11th Inter. Conference on Knowledge Science, Engineering and Management*(KSEM'2018) (Changchun), August, 2018, pp.514-521. - L.J.V. Miranda and J. Hu, "A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction", in
*Proc. of the 42th IEEE Inter. Conference on Computers, Software and Applications*(COMPSAC'2018) (Tokyo), July, 2018, pp.480-485.

**
2017 Journal Papers**

- L.Wang, Y.Cheng, J.Hu, J. Liang and A.M.Dobai, "Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme",
*Complexity,*Vol.2017, Article ID 8197602, 12 Pages. - W.Li, B.Zhou, B.Chen and J.Hu, "A Geometry-Based Two-step Method for Nonlinear Classification Using Quasi-Linear Support Vector Machine",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.12, No.6, pp.883-890, Nov., 2017. - B.Zhou, W.Li and J.Hu, "A New Segmented Oversampling Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.12, No.6, pp.891-898, Nov., 2017. - W.Cao, A.Song and J.Hu, "Stacked Residual Recurrent Neural Network with Word Weight for Text Classification",
*IAENG International Journal of Computer Science,*Vol.44, No.3, pp.277-284, Sept., 2017. - Z.Shi and J.Hu, "A Kernel Approach to Implementation of Local Linear Discriminant Analysis for Face Recognition",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.12, No.1, pp.60-70, Jan., 2017.

**2017 Proceeding Papers**

- P. Liang, W. Li, D. Liu and J. Hu, "Large-Scale Image Classification Using Fast SVM with Deep Quasi-Linear Kernel", in
*Proc. of 2017 IEEE International Joint Conference on Neural Networks*(IJCNN'2017) (Anchorage), May, 2017, pp1064-1071. - W. Li, B. Chen, B. Zhou and J. Hu, "A Mixture of Multiple Linear Classifiers with Sample Weight and Manifold Regularization", in
*Proc. of 2017 IEEE International Joint Conference on Neural Networks*(IJCNN'2017) (Anchorage), May, 2017, pp.3747-3752. - W. Li and J. Hu, "A Multilayer Gated Bilinear Classifier: from Optimizing a Deep Rectified Network to a Support Vector Machine", in
*Proc. of 2017 IEEE International Joint Conference on Neural Networks*(IJCNN'2017) (Anchorage), May, 2017, pp.140-146. - W. Li, P. Liang, X. Yuan and J. Hu, "Non-Local Information for a Mixture of Multiple Linear Classifiers", in
*Proc. of 2017 IEEE International Joint Conference on Neural Networks*(IJCNN'2017) (Anchorage), May, 2017, pp.3741-3746. - W. Wang, Y. Zhang and J. Hu, "Distance Metric Learning with Eigenvalue Fine Tuning", in
*Proc. of 2017 IEEE International Joint Conference on Neural Networks*(IJCNN'2017) (Anchorage), May, 2017, pp.502-509.

**
2016 Journal Papers**

- W. Li, B. Zhou, B. Chen and J. Hu, "A Deep Neural Network Based Quasi-linear Kernel for Support Vector Machines",
*IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,*Vol.E99-A, No.12, pp.2558-2565, Dec., 2016. - J. Zhang and J. Hu, "Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence",
*IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,*Vol.E99-A, No.12, pp.2539-2546, Dec., 2016. - I. Sutrisno, M.A. Jami'in, J. Hu and M.H. Marhaban, "A Self-Organizing Quasi-Linear ARX RBFN Model for Nonlinear Dynamical Systems Identification",
*SICE Journal of Control, Measurement, and System Integration,*Vol.9, No.2, pp.70-77, March, 2016. - M.A. Jami'in, I. Sutrisno, J. Hu, N.B. Mariun and M.H. Marhaban, "Quasi-ARX Neural Network Based Adaptive Predictive Control for Nonlinear Systems",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.11, No.1, pp.83-90, Jan., 2016.

**2016 Proceeding Papers**

- W. Li, J. Hu and B. Chen, "A Deep Quasi-Linear Kernel Composition Method for Support Vector Machine", in
*Proc. of 2016 IEEE International Joint Conference on Neural Networks*(IJCNN'2016) (Vancouver), July, 2016, pp.1639-1645. - W. Li, B. Zhou and J. Hu, "A Kernel Level Composition of Multiple Local Classifiers for Nonlinear Classification", in
*Proc. of 2016 IEEE International Joint Conference on Neural Networks*(IJCNN'2016) (Vancouver), July, 2016, pp.3845-3850. - M.A. Jami'in, J. Hu and E. Julianto, "A Lyapunov Based Switching Control to Track Maximum Power Point of WECS", in
*Proc. of 2016 IEEE International Joint Conference on Neural Networks*(IJCNN'2016) (Vancouver), July, 2016, pp.3883-3888. - B. Chen, W. Li, Y. Zhang and J. Hu, "Enhancing Multi-label Classification Based on Local Label Constraints and Classifier Chains", in
*Proc. of 2016 IEEE International Joint Conference on Neural Networks*(IJCNN'2016) (Vancouver), July, 2016, pp.1458-1463. - J. Zhang and J. Hu, "A Novel Registration Method based on Coevolutionary Strategy", in
*Proc. of 2016 IEEE Congress on Evolutionary Computation*(CEC'2016) (Vancouver), July, 2016, pp.2375-2380. - I. Sutrisno, M.A. Jamiin, J. Hu and N. Mariun, "Application of Self Organizing Quasi-ARX RBFN for Rotor Speed Tracking Control of a Wind Turbine", in
*Proc. 21th International Symposium on Artificial Life and Robotics*(AROB 21th'2016) (Bepu), Jan., 2016.

**
2015 Journal Papers**

- M.A. Jami'in, I. Sutrisno and J. Hu, "Maximum Power Tracking Control for a Wind Energy Conversion System Based on a Quasi-ARX Neural Network Model",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.10, No.4, pp.368-375, July, 2015. - J. Zhang and J. Hu, "Context-based Segmentation of Renal Corpuscle from Microscope Renal Biopsy Image Sequence",
*IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,*Vol.E98-A, No.5, pp.1114-1121, May, 2015.

**2015 Proceeding Papers**

- I. Sutrisno, M.A. Jami'in, J. Hu and M.H. Marhaban, "Self-Organizing Quasi-Linear ARX RBFN Modeling for Identification and Control of Nonlinear Systems", in
*Proc. of 2015 SICE Annual Conference*(SICE'2015) (Hangzhou), pp.788-793, July, 2015. - B. Zhou, D. Fu, C. Dong and J. Hu, "A Tranductive SVM with Quasi-linear Kernel Based on Cluster Assumption for Semi-Supervised Classification", in
*Proc. of 2015 IEEE International Joint Conference on Neural Networks*(IJCNN'2015) (Killarney), July, 2015. - W. Li and J. Hu, "Geometric Approach of Quasi-linear Kernel Composition for Support Vector Machine", in
*Proc. of 2015 IEEE International Joint Conference on Neural Networks*(IJCNN'2015) (Killarney), July, 2015. - D. Fu, B. Zhou and J. Hu, "Improving SVM Based Multi-label Classification by Using Label Relationship", in
*Proc. of 2015 IEEE International Joint Conference on Neural Networks*(IJCNN'2015) (Killarney), July, 2015. - C. Dong, B. Zhou and J. Hu, "A Hierarchical SVM Based Multiclass Classification by Using Similarity Clutering", in
*Proc. of 2015 IEEE International Joint Conference on Neural Networks*(IJCNN'2015) (Killarney), July, 2015. - M.A. Jamiin, I. Sutrisno and J. Hu, "The State-Dynamic-Error-Based Switching Control under Quasi-ARX Neural Network Model", in
*Proc. 20th International Symposium on Artificial Life and Robotics*(AROB 20th'2015) (Bepu), Jan., 2015, pp.787-792.

**
2014 Journal Papers**

- I. Sutrisno, C. Che and J. Hu, "An Improved Adaptive Switching Control Based on Quasi-ARX Neural Network for Nonlinear Systems",
*Artificial Life and Robotics,*Vol.19, No.4, pp.347-353, Oct., 2014. - I. Sutrisno, M.A. Jami'in and J. Hu, "An Improved Elman Neural Network Controller Based on Quasi-ARX Neural Network for Nonlinear Systems",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.9, No.5, pp.494-501, September, 2014. - B. Zhou, B. Chen and J. Hu, "Quasi-linear Support Vector Machine for Nonlinear Classification",
*IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,*Vol.E97-A, No.7, July, pp.1587-1594, 2014. - I. Sutrisno, M.A. Jami'in and J. Hu, "Modified Fuzzy Adaptive Controller Applied to Nonlinear Systems Modeled under Quasi-ARX Neural Netwrok",
*Artificial Life and Robotics,*Vol.19, No.1, pp.22-26, February, 2014.

**2014 Proceeding Papers**

- M.A. Jamiin, I. Sutrisno, J. Hu, N.B. Mariun and M.H. Marhaban, "An Adaptive Predictive Control Based on a Quasi-ARX Neural Network Model", in
*Proc. of 13th Inter. Conference on Control, Automation, Robotics and Vision*(ICARCV2014) (Singapore), Dec., 2014, pp.253-258. - J. Lin, M. Song and J. Hu, "An SMO Approach to Fast SVM for Classification of Large Scale Data", in
*Proc. of 2014 International Conference on IT Convergence and Security*(ICITCS'2014) (Beijin), Oct., 2014. - I. Sutrisno, M.A. Jamiin, and J. Hu, "Nonlinear Model-Predictive Control Based on Quasi-Radial-Basis-Function-Neural-Network", in
*Proc. of 8th Inter. Conference on Mathematical Modelling and Computer Simulation*(AMS2014) (Taipei), Sept., 2014, pp.104-109. - P. Liang, Y. Zhang, K. Lin and J. Hu, "A Fast Sequence Assembly Method Based on Compressed Data Structures", in
*Proc. of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society*(EMBC2014) (Chicago), Aug., 2014, pp.326-329. - Y. Luo, S. Huang, and J. Hu, "A Niching Two-layered Differential Evolution with Self-adaptive Control Parameters", in
*Proc. of 2014 IEEE Congress on Evolutionary Computation*(CEC'2014) (Beijing), July, 2014, pp.1405-1412. - C. Hu, B. Zhou, and J. Hu, "Fast Support Vector Data Description Training Using Edge Detection on Large Datasets", in
*Proc. of 2014 IEEE International Joint Conference on Neural Networks*(IJCNN'2014) (Beijing), July, 2014, pp.2176-2182. (Best Student Paper Award - Finalist) - W. Dou, and J. Hu, "A Half-Split Grid Clustering Algorithm by Simulating Cell Division", in
*Proc. of 2014 IEEE International Joint Conference on Neural Networks*(IJCNN'2014) (Beijing), July, 2014, pp.2183-2189. - B. Zhou, C. Hu, B. Chen and J. Hu, "A Transductive Support Vector Machine with Adjustable Quasi-linear Kernel for Semi-supervised Data Classification", in
*Proc. of 2014 IEEE International Joint Conference on Neural Networks*(IJCNN'2014) (Beijing), July, 2014, pp.1409-1415. - Y. Lin, Y. Fu, and J. Hu, "Support Vector Machine with SOM-based Quasi-linear Kernel for Nonlinear Classification", in
*Proc. of 2014 IEEE International Joint Conference on Neural Networks*(IJCNN'2014) (Beijing), July, 2014, pp.3783-3789. - M.A. Jami'in, I. Sutrisno, and J. Hu, "Nonlinear Adaptive Control for Wind Energy Conversion Systems Based on Quasi-ARX Neural Network Model", in
*Proc. of the International MultiConference of Engineers and Computer Scientists*(IMECS'2014) (Hongkong), Vol.I, March, 2014, pp.313-318. - I. Sutrisno, C. Che and J. Hu, "Quasi-ARX NN Based Adaptive Control Using Improved Fuzzy Switching Mechanism for Nonlinear Systems", in
*Proc. 19th International Symposium on Artificial Life and Robotics*(AROB 19th'2014) (Bepu), Jan., 2014, pp.697-702.

**
2013 Journal Papers**

- Z. Shi and J. Hu, "A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weigh Matrix for Image Edge Detection",
*IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,*Vol.E96-A, No.6, pp.1460-1467, June, 2013. - B. Li, Q. Wang and J. Hu, "Fast SVM Training Using Edge Detection on Very Large Datasets",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.8, No.3, pp.229-237, May, 2013. - B. Li, Q. Wang and J. Hu, "Multi-SVM Classifier Systems with Piecewise Interpolation",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.8, No.2, pp.132-138, March, 2013. - Y. Lin, W. Shih and J. Hu, "Development of Stock Evaluation System Based on Quasi-Linear Regression Model",
*International Journal of Electronic Business Management,*Vol.11, No.1, pp.23-32, March, 2013.

**2013 Proceeding Papers**

- I. Sutrisno, M.A. Jami'in and J. Hu, "Implementation of Lyapunov Learning Algorithm for Fuzzy Switching Adaptive Controller Modeled Under Quasi-ARX Neural Network", in
*Proc. of the 2nd International Conference on Measurement, Information and Control*(ICMIC'2013) (Harbin), Aug., 2013, pp.762-766. - M.A. Jami'in, I. Sutrisno and J. Hu, "Deep Searching for Model Parameters of Linear Time Invariant (LTI) system by Using Quasi-ARX Neural Network", in
*Proc. of 2013 IEEE International Joint Conference on Neural Networks*(IJCNN'2013) (Dallas), Aug., 2013, pp.2758-2762. - Y. Lin, H. Guo and J. Hu, "A SVM-based Approach for Stock Market Trend Prediction", in
*Proc. of 2013 IEEE International Joint Conference on Neural Networks*(IJCNN'2013) (Dallas), Aug., 2013, pp.237-242. - B. Chen, X. Hong, L. Duan and J. Hu, "Improving Multi-label Classification Performance by Label Constraints", in
*Proc. of 2013 IEEE International Joint Conference on Neural Networks*(IJCNN'2013) (Dallas), Aug., 2013, pp.1103-1107. - B. Zhou, C. Yang, H. Guo and J. Hu, "A Quasi-linear SVM Combined with Assembled SMOTE for Imbalanced Data Classification", in
*Proc. of 2013 IEEE International Joint Conference on Neural Networks*(IJCNN'2013) (Dallas), Aug., 2013, pp.2351-2357.

**
2012 Journal Papers**

- H. Sun, H. Guo, J. Hu, and K. Zhu, "Comparative Study on Economic Contribution Rate of Education of China and Foreign Contries Based on Softcomputing Method",
*Applied Soft Computing,*Vol.12, No.8, pp.2106-2113, August, 2012. - H. Guo, J. Hu, S. Yu. H. Sun and Y. Chen, "Computing of the Contribution Rate of Scientific and Technological Progress to Economic Growth in Chinese Regions ",
*Expert Systems with Applications,*Vol.39, No.10, pp.8514-8521, August, 2012. - L. Wang, Y. Cheng and J. Hu, "Stabilizing Switching Control for Nonlinear System Based on Quasi-ARX Model ",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.7, No.4, pp.390-396, July, 2012. - Y. Cheng, L. Wang and J. Hu, "Identification of Quasi-ARX Neurofuzzy Model with an SVR and GA Approach",
*IEICE Trans on Fundamentals of Electronics, Communications and Computer Sciences*, Vol.E95-A, No.5, pp.876-883, May, 2012. - B. Chen and J. Hu, "Hierarchical Multi-label Classification Based on Over-sampling and Hierarchy Constraint for Gene Function Prediction",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.7, No.2, pp.183-189, March, 2012. - L. Wang, Y. Cheng and J. Hu, "A Quasi-ARX Model for Multivariable Decoupling Control of Nonlinear MIMO System",
*Mathematical Problems in Engineering,*Vol.2012, Article ID 570498, 13 pages, doi:10.1155/2012/570498, 2012.

**2012 Proceeding Papers**

- W. Dou and J. Hu, "Automated Web Data Mining Using Semantic Analysis", in
*LNCS 7713, Advanced Data Mining and Application (Proc. of ADMA'2012 (Nanjing))*, Dec., 2012, pp.539-551. - M.A. Jami'in, I. Sutrisno and J. Hu, "Lyapunov Learning Algorithm for Quasi-ARX Neural Network to Identification of Nonlinear Dynamical System", in
*Proc. of IEEE International Conference on Systems, Man, and Cybernetics*(SMC'2012) (Seoul), Oct., 2012, pp.3141-3146. - I. Sutrisno, M.A. Jami'in and J. Hu, "Neural Predictive Controller of Nonlinear Systems Based on Quasi-ARX Neural Network", in
*Proc. of the 18th International Conference on Automation and Computing*(ICAC12) (Leicestershire), Sept., 2012, pp.83-88. - Y. Cheng and J. Hu, "Nonlinear System Identification Based on SVR with Quasi-linear Kernel", in
*Proc of 2012 IEEE International Joint Conference on Neural Networks*(IJCNN'12)(Brisbane), June, 2012, pp.2368-2375. - Z. Shi and J. Hu, "Local Linear Discriminant Analysis with Composite Kernel for Face Recognition", in
*Proc of 2012 IEEE International Joint Conference on Neural Networks*(IJCNN'12)(Brisbane), June, 2012, pp.166-170. - B. Chen, L. Duan and J. Hu, "Composite Kernel Based SVM for Hierarchical Multi-label Gene Function Classification", in
*Proc of 2012 IEEE International Joint Conference on Neural Networks*(IJCNN'12)(Brisbane), June, 2012, pp1380-1385.

**
2011 Journal Papers**

- Y. Chen and J. Hu, "Accurate Reconstruction for DNA Sequencing by Hybridization Based on A Constructive Heuristic",
*IEEE/ACM Trans. on Computational Biology and Bioinformatics,*Vol.8, No.4, pp.1134-1140, July/Aug., 2011. - Y. Cheng, L. Wang M. Yu and J. Hu, "An Efficient Identification Scheme for a Nonlinear Polynomial NARX Model",
*Artificial Life and Robotics,*Vol.16, No.1, pp.70-73, June 2011. - Y. Cheng, L. Wang and J. Hu, "A Two-step Scheme for Polynomial NARX Model Identification Based on MOEA with Pre-screening Process",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.6, No.3, pp.253-259, May 2011. - J. Zhang, J. Hu and H. Zhu, "Contour Extraction of Glomeruli by Using Genetic Algorithm for Edge Patching",
*IEEJ Trans. on Electrical and Electronic Engineering,*Vol.6, No.3, pp.229-235, May 2011. - Y. Cheng, L. Wang and J. Hu, "Quasi-ARX Wavelet Network for SVR Based Nonlinear System Identification",
*Nonlinear Theory and its Applications (NOLTA), IEICE*, Vol.2, No.2, pp.165-179, April 2011. - B. Li, Q. Wang and J. Hu, "Feature Subset Selection: A Correlation-Based SVM Filter Approach",
*IEEJ Trans. on Electrical and Electronic Engineering*, Vol.6, No.2, pp.173-179, 2011.

**2011 Proceeding Papers**

- Y. Cheng, L. Wang, and J. Hu, "A Quasi-linear Approach for Microaary Missing Value Imputation", in
*Proc. of 18th International Conference on Neural Information Processing*(ICONIP'11)(Shanghai), Nov., 2011, pp.233-240. - Y. Cheng, L. Wang, J. Zeng and J. Hu, "Identification of Quasi-ARX Neurofuzzy Model by Using SVR-based Approach with Input Selection", in
*Proc of 2011 IEEE International Conference on Systems, Man and Cybernetics*(SMC'11)(Anchorage), Oct., 2011, pp.1585-1590. - L. Wang, Y. Cheng and J. Hu, "Multivariable Self-Tuning Control for Nonlinear MIMO System Using Quasi-ARX RBFN Model", in
*Proc. of the 30th Chinese Control Conference*(CCC'2011) (Yantai), July, 2011, pp.3772-3776. - B. Chen, J. Hu and L. Duan, "Niching EDA Based on Fitness Sharing for Off-latice Protein Folding Model", in
*Proc 2011 International Conference on Fuzzy Systems and Neural Computing*(FSNC'2011)(Hongkong), Feb., 2011, pp.128-131. - L. Wang, Y. Cheng and J. Hu, "Adaptive Switching Control Based on Quasi-ARX RBFN Model", in
*Proc. 2011 International Conference on Computers, Communications, Control and Automation*(CCCA'2011)(Hongkong), Feb., 2011, pp.76-79. - Y. Cheng, M. Yu, L. Wang and J. Hu, "An Efficient Identification Scheme for Nonlinear Polynomial NARX Model", in
*Proc. 16th International Symposium on Artificial Life and Robotics*(AROB 16th'11) (Bepu), Jan., 2011, pp.499-502.

**2010 Journal Papers**

- B. Chen and J. Hu, "An Adaptive Niching EDA with Balance Searching Based on Clustering Analysis",
*IEICE Trans on Fundamentals of Electronics, Communications and Computer Sciences*, Vol.E93-A, No.10, Oct. 2010. - B. Chen, W. Gu and J. Hu, "An Improved Multi-label Classification Method and Its Application to Functional Genomics",
*Int. J. Computational Bilogy and Drug Design*, Vol.3, No.2, pp.133-145, 2010. - L. Wang, Y. Cheng and J. Hu, "A Quasi-ARX Neural Network with Switching Mechanism to Adaptive Control of Nonlinear Systems",
*SICE Journal of Control, Measurement, and System Integration*, Vol.3, No.4, pp.246-252, July 2010. - B. Chen and J. Hu, "A Hybrid EDA for Protein Folding Based on HP Model",
*IEEJ Trans. on Electrical and Electronic Engineering*, Vol.5, No.4, pp.459-466, July 2010. - J. Zhang and J. Hu, "Color Quantization Based on Hierarchical Frequency Sensitive Competitive Learning",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.14, No.4, pp.375-381, May 2010. - B. Chen, L. Ma and J. Hu, "An Improved Multi-label Classification Method Based on SVM with Delicate Decision Boundary",
*International Journal of Innovative Computing, Information and Control,*Vol.6, No.4, pp.1605-1614, April 2010. - J. Zhang, J. Hu and H. Zhu, "Extraction of Glomeruli Using a Canny Operator with a Feedback Strategy",
*JAMIT**Medical Imaging Technology*, Vol.28. No.2, pp.127-134, March 2010.

**2010 Proceeding Papers**

- B. Chen F. Sun and J. Hu, "Local Linear Multi-SVM Method for Gene Function Classification", in
*Proc. of the World Congress on Nature and Biologically Inspired Computing*(NaBIC2010)(Kitakyushu), Dec., 2010, pp.183-188. - Z. Shi and J. Hu, "An Adaptive Switching Median Filter with Anisotropic Linking PCNN Noise
Detection for Salt and Pepper Noise Reduction", in
*Proc. of the World Congress on Nature and Biologically Inspired Computing*(NaBIC2010)(Kitakyushu), Dec., 2010, pp.240-245. - B. Chen and J. Hu, "Hierarchical Multi-label Classifiication Incorporating Prior Information for Gene Function Predicition", in
*Proc. of the 12th International Conference on Intelligent Systems Design and Applications*(ISDA'10)(Cairo), Nov., 2010, pp.231-236. - Z. Shi and J. Hu, "Image Edge Detection Method Based on a Simplified PCNN Model with Anisotropic Linking Mechanism", in
*Proc. of the 12th International Conference on Intelligent Systems Design and Applications*(ISDA'10)(Cairo), Nov., 2010, pp.324-329. - L. Wang, Y. Cheng and J. Hu, "Nonlinear Adaptive Control Using Support Vector Regression Based on Improved Quasi-ARX Model", in
*Proc. of 2010 International Conference on Modeling, Simulation and Control*(ICMSC'10) (Cairo), Nov., 2010, pp.412-416. - Y. Cheng, L. Wang and J. Hu, "Quasi-ARX Wavelet Networks for Nonlinear System Identification", in
*Proc. of 2010 International Conference on Modeling, Simulation and Control*(ICMSC'10) (Cairo), Nov., 2010, pp.407-411. - W. Gu, B. Chen and J. Hu, "Combining Binary-SVM and Pairwise Label Constraints for Multi-label Classification", in
*Proc of 2010 IEEE International Conference on Systems, Man and Cybernetics*(SMC'10)(Istanbul), Oct., 2010, pp.4176-4181. - J. Zhang and J. Hu, "A Hierarchical Clustering Method for Color Quantization", in
*Proc. of 2010 International Conference on Pattern Recognition*(ICPR2010) (Istanbul), Aug., 2010, pp.786-789. - L. Wang, Y. Cheng and J. Hu, "Nonlinear Adaptive Control Using a Fuzzy Switching Mechanism Based on Improved Quasi-ARX Neural Network", in
*Proc of 2010 IEEE International Joint Conference on Neural Networks*(IJCNN'10)(Barcelona), July 2010, pp.3078-3084. - G. Sun, J. Hu and G. Wu, "A Novel Frequency Band Selection Method for Common Spatial Pattern in Motor Imagery Based Brain Computer Interface", in
*Proc of 2010 IEEE International Joint Conference on Neural Networks*(IJCNN'10)(Barcelona), July 2010, pp.335-340. - B. Chen, W. Gu and J. Hu, "An Improved Multi-label Classification Based on Label Ranking and Delicate Boundary SVM", in
*Proc of 2010 IEEE International Joint Conference on Neural Networks*(IJCNN'10)(Barcelona), July 2010, pp.786-790. - B. Chen and J. Hu, "An Adaptive Niching EDA Based on Clustering Analysis", in
*Proc. of 2010 IEEE Congress on Evolutionary Computation*(CEC'10) (Barcelona), July 2010, pp.858-860. - Y. Chen and J. Hu, "eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing By Hybridization", in
*Proc. of the 10th IEEE International Conference on Bioinformatics and Bioengineering*(IEEE-BIBE 2010)(Philadelphia), May 2010, pp.124-129. - J. Zhang and J. Hu, "Variable Structure Neural Network for Adaptive Color Clustering", in
*Proc. of the 7th IASTED International Conference Signal Processing, Pattern Recognition and Applications*(SPPRA 2010) (Innsbruck), Feb. 2010, pp.248-252. - L. Wang, Y. Cheng and J. Hu, "Quasi-ARX neural network and its application to adaptive control of nonlinear systems", in
*Proc. 15th International Symposium on Artificial Life and Robotics*(AROB 15th'10) (Bepu), 2, 2010, pp. 577-580.

**2009 Journal Papers**

- Q. Wang, B. Li and J. Hu, "Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.13, No.4, pp.407-417, 2009. - J. Zhang and J. Hu, "Automatic Segmentation Technique for Color Images",
*ICGST**International Journal on Graphics, Vision and Image Processing*(GVIP), Vol.9, No.3, pp.41-49, June, 2009. - J. Zhang and J. Hu, "Renal Biopsy Image Segmentation Based on 2-D Otsu Method with Histogram Analysis",
*JAMIT**Medical Imaging Technology*, Vol.27, No.3, pp.185-192, May, 2009. - J. Zhang, Q. Zhang and J. Hu, "RGB Color Centroids Segmentation (CCS) for Face Detection",
*ICGST**International Journal on Graphics, Vision and Image Processing*(GVIP), Vol.9, No.2, pp.1-9, April, 2009. - B. Chen, J. Hu, L. Duan and Y. Gu, "Network Administrator Assistance System Based on Fuzzy C-means Analysis",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.13, No.2, March, pp.91-96, 2009.

**2009 Proceeding Papers**

- B. Chen and J. Hu, "A Novel Clustering Based Niching EDA for Protein Folding", in
*Proc. of World Congress on Nature and Biologically Inspired Computing*(NaBIC 2009) (India), 12, 2009, pp.748-753. - Y. Cheng, L. Wang and J. Hu, "A Two-step Method for Nonlinear Polynomial Model Identification Based on Evolutionary Optimization", in
*Proc. of World Congress on Nature and Biologically Inspired Computing*(NaBIC 2009) (India), 12, 2009, pp.613-618. - L. Wang, Y. Cheng and J. Hu, "Adaptive Control for Nonlinear Systems Based on Quasi-ARX Neural Network", in
*Proc. of World Congress on Nature and Biologically Inspired Computing*(NaBIC 2009) (India), 12, 2009, pp.1548-1551. - Q. Wang, B. Li and J. Hu, "Feature Selection for Human Resource Selection Based on Affinity Propagation and SVM Sensitivity", in
*Proc. of World Congress on Nature and Biologically Inspired Computing*(NaBIC 2009) (India), 12, 2009, pp.31-36. - B. Zhou and J. Hu, "A Dynamic Pattern Recognition Approach Based on Neural Network for Stock Time-Series", in
*Proc. of World Congress on Nature and Biologically Inspired Computing*(NaBIC 2009) (India), 12, 2009, pp.1552-1555. - L. Wang and J. Hu, "An Improvement of Quasi-ARX Predictor to Control of Nonlinear Systems Using Nonlinear PCA Network", in
*Proc. of ICROS-SICE International Joint Conference 2009*(Fukuoka), 8, 2009, pp.5095-5099. - B. Chen, L. Li and J. Hu, "An Improved Backtracking Method for EDAs Based Protein Folding", in
*Proc. of ICROS-SICE International Joint Conference 2009*(Fukuoka), 8, 2009, pp.4669-4673. - Y. Cheng, Y. Jin and J. Hu, "Adaptive Epsilon Non-dominated Sorting Multi-objective Evolutionary Optimization and Its Application in Shortest Path Problem", in
*Proc. of ICROS-SICE International Joint Conference 2009*(Fukuoka), 8, 2009, pp.2545-2549. - W. Dou, J. Hu and G. Wu, "Interesting Rules Mining with Deductive Method", in
*Proc. of ICROS-SICE International Joint Conference 2009*(Fukuoka), 8, 2009, pp.142-146. - J. Zhang and J. Hu, "An Automatic Segmentation Technique for Color Images Based on SOFM Neural Network", in
*Proc. of International Joint Conference on Neural Networks*(Atlanta), June 2009, pp.3528-3533. - B. Li, Q. Wang and J. Hu, "A Fast SVM Training Method for Very Large Datasets", in
*Proc. of International Joint Conference on Neural Networks*(Atlanta), June 2009, pp.1784-1789. - J. Ma, J. Zhang and J. Hu, "Glomerulus Extraction by Using Genetic Algorithm for Edge Patching", in
*Proc. 2009 IEEE Congress on Evolutionary Computation*(CEC'09) (Trondheim), 5, 2009, pp.2474-2479. - B. Chen, L. Li and J. Hu, "A Novel EDAs Based Method for HP Model Protein Folding", in
*Proc. 2009 IEEE Congress on Evolutionary Computation*(CEC'09) (Trondheim), 5, 2009, pp.309-315. - J. Zhang and J. Hu, "Curvilinear Thresholding Method for Noisy Images Based on 2D Histogram", in
*Proc. of the 2008 International Conference on Robotics and Biomimetics*(Bangkok), Feb., 2009, pp.1014-1019.

**2008 Journal Papers**

- B. Li, J. Hu and K. Hirasawa, "Support Vector Machine Classifier with WHM Offset for Unbalanced Data",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.12, No.1, pp.94-101, 2008. - T. Sasakawa, J. Hu and K. Hirasawa, "A Brainlike Learning System with Supervised, Unsupervised, and Reinforcement Learning",
*Electrical Engineering in Japan*, Vol.162, No.1, pp.32-39, 2008.

**2008 Proceeding Papers**

- J. Zhang and J. Hu, "Curvilinear Thresholding Method for Noisy Images Based on 2D Histogram", in
*Proc. of the 2008 International Conference on Robotics and Biomimetics*(Bangkok), Feb., 2009, pp.1014-1019. - Y. Xu, Q. Wang and J. Hu, "An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms", in
*Proc. of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology*(IAT'08) (Sydney), Vol.2, 79-82, Dec. 2008 . - J. Zhang and J. Hu, "Nuclei Extraction Based on Multi-channel Information", in
*Proc of Digital Image Computing: Techniques and Application*(Canberra), Dec., 2008, pp.59-64. - J. Zhang and J. Hu, "Image Segmentation Based on 2D Otsu Method with Histogram Analysis", in
*Proc of 2008 International Conference on Computer Science and Software Engineering*(Wuhan), 2008, pp.105-108. - J. Zhang and J. Hu, "Glomeruli Segmentation Based on Neural Network with Fault Tolerance", in
*Proc. of 2008 International Symposium on Computational Intelligence and Design*(Wuhan), Oct. 2008, pp.401-404. - J. Zhang and J. Hu, "Glomerulus Extraction by Optimizing the Fitting Curve", in
*Proc. of 2008 International Symposium on Computational Intelligence and Design*(Wu Han), Oct. 2008, pp.169-172. - B. Chen, J. Hu, L. Duan and Y. Gu, "Network Administrator Assistance System Based on on Fuzzy C-Means Analysis", in
*Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications*(Dali), 11, 49-55, 2008 . - B. Chen, L. Ma and J. Hu, "A New SVM Based Method for Solving Multi-Label Classification Problem", in
*Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications*(Dali), 11, 325-334, 2008 . - Q. Wang, J. Hu and Y. Zhou, "Weighted Support Vector Machine with Combination Weighting Method for Human Resource Selection", in
*Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications*(Dali), 11, 405-413, 2008 . - J. Hu and B. Chen, "A New Method for Identifying Nonlinear Polynomial Model Using Genetic Algorithm", in
*Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications*(Dali), 11, 75-84, 2008 . - Q. Wang, B. Li and J. Hu, "Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine", in
*Prod. of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems*, 9, 1837-1842, 2008 . - W. Dou, J. Hu, K. Hirasawa and G. Wu, "Quick Response Data Mining Model Using Genetic Algorithm", in
*Proc. of SICE Annual Conference*, 8, 1214-1219, 2008. - B. Li, L. Ma, J. Hu and K. Hirasawa, "Gene Classification Using An Improved SVM Classifier with Soft Decision Boundary", in
*Proc. of SICE Annual Conference*, 8, 2476-2480, 2008 . - B. Li, J. Hu and Hirasawa, "Financial Time Series Prediction Using a Support Vector Regression Network", in
*Proc. of International Joint Conference on Neural Networks*(IJCNN2008) (Hongkong), 6, 2008, pp.622-628. - W. Dou, J. Hu, K. Hirasawa and G. Wu, "Distributed Multi-Relational Data Mining Based on Genetic Algorithm", in
*Proc of 2008 IEEE Congress on Evolutionary Computation*(CEC2008) (Hongkong), 6, 2008, pp.744-750. - Y. Chen, J. Hu, K. Hirasawa and S. Yu, "Solving Deceptive Problems Using A Genetic Algorithm with Reserve Selection", in
*Proc of 2008 IEEE Congress on Evolutionary Computation*(CEC2008) (Hongkong), 6, 2008, pp.884-889. - Y. Chen, J. Hu, K. Hirasawa and S. Yu, "Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection", in
*Proc. of 2008 IEEE International Conference on Networking, Sensing and Control*(ICNSC2008) (Sanya), 4, 2008, pp1512-1516. - B. Li, J. Hu and K. Hirasawa, "An Improved Support Vector Machine with Soft Decision-Making Boundary", in
*Proc. of 2008 the IASTED International Conference on Artificial Intelligence and Applications*(AIA 2008) (Innsbruck), 2, 2008, pp.40-45.

**Journal Papers** before 2008

- 笹川・古月・平澤, "教師あり学習・教師なし学習・強化学習を複合したbrain- like学習システム", 電気学会論文誌C, Vol.126, No.9, 1165-1172, 2006.
- 笹川・古月・平澤, "自己組織化機能局在型ニューラルネットワーク", 計測自動制御学会論文集, Vol.41, No.1, pp.67-74, 2005.
- 古月・平澤, "非線形システムの制御のためのニューラルネットワーク予測モデル", 計測自動制御学会論文集, Vol.39, No.2, pp.168-175, 2003.
- J.Hu, K.Kumamaru and K.Hirasawa, " A Quasi-ARMAX Approach to the Modeling of Nonlinear Systems ",
*International Journal of Control*, Vol.74, No.18, pp.1754-1766, 2001. - J.Hu, K.Hirasawa and Q.Xiong, " Overlapped Multi-Neural-Network and Its Training Algorithm ",
*IEEJ Trans. on Electronics, Information and Systems*, Vol.121, No.12, 1949-1956, 2001. - J.Hu, K.Hirasawa and K.Kumamaru, " A Homotopy Approach to Improving PEM Identification of ARMAX Model ",
*Automatica*, Vol.37, No.9, pp.1323-1334, 2001. - J.Hu, K.Kumamaru and K.Hirasawa, "A Neurofuzzy Approach to Fault Detection of Nonlinear Systems ",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.3, No.6, pp.524-531,1999. - J.Hu, K.Hirasawa, J.Murata, C.Jin and T.Mtsuoka, " A Probabilistic Learning Network Based Robust Control Scheme for Nonlinear Systems ",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.3, No.6, pp.485-490,1999. - J.Hu, K.Hirasawa and K.Kumamaru, " A Neurofuzzy-Based Adaptive Predictor for Control of Nonlinear Systems ",
*Trans. of the Society of Instrument and Control Engineers*, Vol.35, No.8, pp.1060-1068,1999. - J.Hu, K.Hirasawa and K.Kumamaru, " LimNet -- Flexible Learning Network Containing Linear Properties ",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.3, No.4, pp.303-311,1999. - J.Hu and K.Hirasawa, "A Homotopy Approach to Identification of ARMAX Systems",
*IEEJ Trans. on Electronics, Information and Systems*, Vol.119-C, No.2, pp.206-211, 1999. - J.Hu, K.Kumamaru, K.Inoue and K.Hirasawa, " KDI-Based Robust Fault Detection in Presence of Nonlinear Undermodeling",
*Trans. of the Society of Instrument and Control Engineers*, Vol.35, No.2, pp.200-207,1999 - J.Hu, K.Hirasawa and J.Murata, " RasID -- Random Search for Neural Networks Training ",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.2, No.4, pp.134-141, 1998. - K.Hirasawa, J.Hu and J.Murata, " Computing Higher Order Derivatives in Universal Learning Networks ",
*Journal of Advanced Computational Intelligence and Intelligent Informatics*, Vol.2, No.2, pp.47-53, 1998. - J.Hu, K.Kumamaru, K.Inoue and K.Hirasawa, " A Hybrid Quasi-ARMAX Modeling Scheme for Identification of Nonlinear Systems ",
*Trans. of the Society of Instrument and Control Engineers*, Vol.34, No.8, pp.977-985,1998. - J.Hu, K.Kumamaru and K.Inoue, " A Hybrid Robust Identification Using Genetic Algorithm and Gradient Method ",
*Trans. of the Society of Instrument and Control Engineers*, Vol.32, No.5, pp.714-721,1996.

**Proceeding Papers** before 2008

- Y. Chen, J. Hu, K. Hirasawa and S. Yu, "Performance Tuning of Genetic Algorithm with Reserve Selection", in
*Proc. of 2007 IEEE Congress on Evolutionary Computation*(CEC2007) (Sigapore), 9, 2007, pp.2202-2209. - Y. Chen, J. Hu, K. Hirasawa and S. Yu, "Optimizing Reserve Size in Genetic Algorithms with Reserve Selection Using Reinforcement Learning", in
*Proc. of SICE Annual Conference 2007*(Kagawa), 9, 2007, pp.1341-1347. - Y. Xu, J. Hu, K. Hirasawa and X. Pang, "A New Cooperative Approach to Discrete Particle Swarm", in
*Proc. of SICE Annual Conference 2007*(Kagawa), 9, 2007, pp.1311-1318. - Y. Chen, J. Hu, K. Hirasawa and S. Yu, "GARS: An Improved Genetic Algorithm with Reserve Selection for Global Optimization", in
*Proc. of 2007 Genetic and Evolutionary Computation Conference*(GECCO2007), University College London, London, England, 7, 2007, pp. 1173-1178. - J.Hu, T.Sasakawa, K.Hirasawa and H.Zheng, "A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning", LNCS 4491:
*Advances in Neural Network - ISNN 2007*(Proc of 4th International Symposium on Neural Networks (Nanjing)), Part I, 5, 2007, pp.403-412. - L. Huang, J. Hu and K. Hirasawa, "A Quasi-ARMA Model for Financial Time Series Prediction", in
*Proc. the 38th ISCIE International Symposium on Stochastic Systems Theory and Its Applications*(SSS2006) (Nagano), 11, 2006, pp.64-69. - B.Li, J.Hu and K.Hirasawa, "Fuzzy Decision-making SVM with An Offset for Real-world Lopsided Data Classification", in
*Proc. of SICE-ICASE International Joint Conference 2006*(Busan), 10, 2006, pp.143-148. - T.Sasakawa, J.Hu, K.Isono and K.Hirasawa, "Effective Training Methods for Function Localization Neural Networks", in
*Proc. of International Joint Conference on Neural Networks*(Vancouver), 7, 2006, pp.9535-9540 - B.Li, J.Hu, K.Hirasawa, P.Sun and K.Marko, "Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classifiction", in
*Proc. of International Joint Conference on Neural Networks*(Vancouver), 7, 2006, pp.1314-1319 - T.Sasakawa, J.Hu and K.Hirasawa, "Performance Optimization of Function Localization Neural Network by Using Reinforcement Learning", in
*Proc. of International Joint Conference on Neural Networks*(Montreal), 8, 2005, pp.1314-1319 - J.Hu, Y.Li and K.Hirasawa, "A Neural Network Approach to Improving Identification of Nonlinear Polynomial Models", in
*Proc. of SICE Annual Confference*(Okayama), 8, 2005, pp.1662-1667 - J.Hu, X.Lu and K.Hirasawa, "Training Quasi-ARX Neural Network Model by Homotopy Approach", in
*Proc. of SICE Annual Conference*(Hokkaido), 8, 2004, pp.367-372. - T.Sasakawa, J.Hu and K.Hirasawa, "Self-organized Function Localization Neural Network", in
*Proc. of International Joint Conference on Neural Networks*(Budapest), 7, 2004 - J.Hu, K.Hirasawa and H.Miyazaki, "An Adaptive Random Search Algorithm with Tuning Capabilities", in
*Proc of the 34th ISCIE International Symposium on Stochastic System Theory and Its Applications*(Fukuoka), 10, 2002, pp.148-153. - J.Hu and K.Hirasawa, "A Method for Applying Multilayer Perceptrons to Control of Nonlinear Systems", in
*Proc. of 9th International Conference on Neural Information Processing*(ICONIP'02) (Singapore), 11, 2002, pp.1267-1271. - J.Hu, K.Hirasawa and K.Kumamaru, " A Quasi-ARX Model Incorporating Neural Networks for Control of Nonlinear Systems ", in
*Proc. of the 15th IFAC World Congress*(Barcelona), 7, 2002. - J.Hu and K.Hirasawa, " A Hierarchical Method for Training Embedded Sigmoidal Neural Networks ", in
*Proc. of International Conference on Artificial Neural Networks*(ICANN2001) (Wienna), 8, 2001, pp.937-942. - J.Hu and K.Hirasawa, " An Embedded Sigmoidal Neural Network for Modeling of Nonlinear Systems ", in
*Proc. of IEEE International Joint Conference on Neural Network*(Washington), vol.3, 7, 2001, pp.1698-1703. - J.Hu and K.Hirasawa, "Overlapped Multi-Neural-Network: A Case Study ", in
*Proc. of IEEE International Joint Conference on Neural Networks*(Como), vol.I, 7, 2000,pp.120-125. - J.Hu, K.Kumamaru and K.Hirasawa, "Quasi-ARMAX Modeling Approaches to Identification and Prediction of Nonlinear Systems", in
*Proc. of the 12th IFAC Symp. on Identification*(Santa Barbara), 6, 2000 (CDROM: FrMD3-2). - J.Hu and K.Hirasawa, "Adaptive Random Search Approach to Identification of Neural Network Model ", in
*Proc. of the 31th ISCIE International Symposium on Stochastic Systems Theory and Its Applications*(Yokohama), 11,1999, pp.73-78. - J.Hu, K.Hirasawa and K.Kumamaru, "Adaptive Predictor for Control of Nonlinear Systems Based on Neurofuzzy Models ", in
*Proc. of European Control Conference*(Karlsruhe), 8, 1999 (CDROM: Thursday, Session CM-7). - J.Hu and K.Hirasawa, "Object Oriented Learning Network and Its Applications ", in
*Proc. of IEEE International Joint Conference on Neural Networks*(Washington), 7, 1999. - J.Hu, K.Kumamaru,.K.Hirasawa and K.Inoue, "An Indirect Approach to Adaptive Control of Nonlinear Systems Using Quasi-ARMAX Model ", in
*Proc. of the 14th IFAC World Congress*(Beijing), vol.I, 7, 1999, pp.391-396. - J.Hu, K.Hirasawa, C.Jin and T.Matsuoka, " Control of Nonlinear Systems Based on a Probabilistic Learning Network ", in
*Proc. of the 14th IFAC World Congress*(Beijing), vol.C, 7, 1999, pp.447-452. - J. Hu, K.. Hirasawa, J. Murata and M. Ohbayashi, "A Computation Scheme for Higher Order Derivatives in Universal Learning Networks", in
*Proc. of 1998 IEEE International Conference on Intelligent Engineering Systems*(INES'98) (Vienna), 9, 1998, pp.349-354. - J.Hu, K.Hirasawa and K.Kumamaru, " Identification of ARMAX Model Based on Homotopy Approaches ", in
*Proc. of the 30th ISCIE International Symposium on Stochastic Systems Theory and Its Applications*(Kyoto), 11,1998, pp.87-92. - J.Hu, K.Hirasawa, J.Murata, M.Ohbayashi and Y.Eki, " A New Random Search Method for Neural Network Learning -RasID", in
*Proc. of IEEE International Joint Conference on Neural Networks*(Alaska), 5, 1998, pp.2346-2351. - J.Hu, K.Hirasawa, J.Murata, M.Ohbayashi and K.Kumamaru, " Adaptive Control of Nonlinear Black-Box Systems Based on Universal Learning Networks ", in
*Proc. of IEEE International Joint Conference on Neural Networks*(Alaska), 5, 1998, pp.2453-2458. - J.Hu, K.Hirasawa, J.Murata, M.Ohbayashi and K.Kumamaru, " Identification of Nonlinear Black-Box Systems Based on Universal Learning Networks ", in
*Proc. of IEEE International Joint Conference on Neural Networks*(Alaska), 5, 1998, pp.2465-2470. - J.Hu, K.Hirasawa and K.Kumamaru, "Fuzzy Models Embedding of STR Controller for Nonlinear Stochastic Systems", in
*Proc. of the 29th ISCIE international Symposium on Stochastic Systems Theory and Its Applications*(Tokyo), 11, 1997, pp.51-56. - J.Hu, K.Kumamaru, K. Inoue and K.Hirasawa, " KDI-Based Robust Fault Detection Scheme for Nearly Linear Systems", in
*Proc. of the 29th ISCIE international Symposium on Stochastic Systems Theory and Its Applications*(Tokyo), 11, 1997, pp.13-18. - K.Kumamaru, J.Hu, K.Inoue and T.Soderstrom, " Fault Detection of Nonlinear Systems by Using Hybrid Quasi-ARMAX Models ", in
*Proc. of IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes*(Kingston Upon Hull), 8, 1997, pp.1126-1131. - K.Kumamaru, J.Hu, K.Inoue and T.Soderstrom, "A Method of Robust Fault Detection for Dynamic Systems by Using Quasi-ARMAX Modeling ", in
*Proc. of the 11th IFAC Symp. on Identification*(Kitakyushu), 7, 1997, Vol.3, pp.1207-1212. - J.Hu, K.Kumamaru and K. Inoue, " A Hybrid Quasi-ARMAX Modeling Scheme for Identification and Control of Nonlinear Systems ", in
*Proc. of the 35th IEEE Conference on Decision and Control*(Kobe), 12, 1996, pp.1413-1418. - J.Hu, K.Kumamaru and K. Inoue, "Adaptive Control of Nonlinear Stochastic Systems Based on a Hybrid Quasi-ARMAX Model ", in
*Proc. of the 28th ISCIE international Symposium on Stochastic Systems Theory and Its Applications*(Kyoto), 11, 1996, pp.149-154. - K.Kumamaru, J.Hu, K.Inoue and T.Soderstrom, " Robust Fault Detection Using Index of Kullback Discrimination Information ", in
*Proc. of the 13th IFAC World Congress*(San Francisco), 6, 1996, pp.205-210. - J.Hu, K.Kumamaru and K. Inoue, "A Guaranteed Nonlinear System Identification Using ARX Networks", in
*Proc. of the 27th ISCIE international Symposium on Stochastic Systems Theory and Its Applications*(Beppu), 11, 1995, pp.7-12. - J.Hu and K.Kumamaru, "Identification of Nonlinear Systems Based on Adaptive Fuzzy Systems Embedding Quasi-ARMAX Model", in
*Proc. of the 34th SICE Annual Conference*(international session) (Sapporo), 7, 1995, pp.1211-1216. - K.Kumamaru, J.Hu, K.Inoue and H.Ono, " Fault Detection via KDI in Presence of Unmodelled Uncertainty ", in
*Proc. of the 26th ISCIE international Symposium on Stochastic Systems Theory and Its Applications*(Kyoto), 11, 1994, pp.173-178.