Volume 22, Number 1, January 2011

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  Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert A. Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco Wiering, Vicente Zarzoso: Editorial: One Year as EiC, and Editorial-Board Changes at TNN. 1-7
• 
  Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona: Signature Neural Networks: Definition and Application to Multidimensional Sorting Problems. 8-23
• 
  F.-Y. Wang, N. Jin, D. Liu, Q. Wei: Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With varepsilon-Error Bound. 24-36
• 
  Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto: Solving Nonstationary Classification Problems With Coupled Support Vector Machines. 37-51
• 
  Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cuntai Guan, Chuanchu Wang: Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface. 52-63
• 
  Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, Hoi-Jun Yoo: 24-GOPS 4.5-mm² Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC. 64-73
• 
  Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic: An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. 74-83
• 
  Ekaterina Vassilieva, Guillaume Pinto, J. Acacio de Barros, Patrick Suppes: Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators. 84-95
• 
  Bin Wang, Hsiao-Dong Chiang: ELITE: Ensemble of Optimal Input-Pruned Neural Networks Using TRUST-TECH. 96-109
• 
  Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression. 110-120
• 
  Hua Huang, Huiting He: Super-Resolution Method for Face Recognition Using Nonlinear Mappings on Coherent Features. 121-130
• 
  Ali Rodan, Peter Tino: Minimum Complexity Echo State Network. 131-144
• 
  Bo Shen, Zidong Wang, Xiaohui Liu: Bounded H_infty Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon. 145-157
• 
  Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Antonio Artés-Rodríguez: Extended Input Space Support Vector Machine. 158-163
• 
  Ye Zhao, Lixian Zhang, Shen Shen, Huijun Gao: Robust Stability Criterion for Discrete-Time Uncertain Markovian Jumping Neural Networks With Defective Statistics of Modes Transitions. 164-170

Volume 22, Number 2, February 2011

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  Shi-Xiong Zhang, Man-Wai Mak: Optimized Discriminative Kernel for SVM Scoring and Its Application to Speaker Verification. 173-185
• 
  Nizar Bouguila: Count Data Modeling and Classification Using Finite Mixtures of Distributions. 186-198
• 
  Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang: Domain Adaptation via Transfer Component Analysis. 199-210
• 
  Guoxu Zhou, Zuyuan Yang, Shengli Xie, Jun-Mei Yang: Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources. 211-221
• 
  Chengzhi Zhao, Liangcai Gan: Dynamic Channel Assignment for Large-Scale Cellular Networks Using Noisy Chaotic Neural Network. 222-232
• 
  Peng Ren, Richard C. Wilson, Edwin R. Hancock: Graph Characterization via Ihara Coefficients. 233-245
• 
  Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo: Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. 246-263
• 
  Thuan Q. Huynh, James A. Reggia: Guiding Hidden Layer Representations for Improved Rule Extraction From Neural Networks. 264-275
• 
  Yujian Li, Bo Liu, Xinwu Yang, Yaozong Fu, Houjun Li: Multiconlitron: A General Piecewise Linear Classifier. 276-289
• 
  Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao: Client-Server Multitask Learning From Distributed Datasets. 290-303
• 
  Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben: Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. 304-316
• 
  Kevin Ho, Chi-Sing Leung, John Sum: Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. 317-323
• 
  Chuandong Li, Sichao Wu, Gang Feng, Xiaofeng Liao: Stabilizing Effects of Impulses in Discrete-Time Delayed Neural Networks. 323-329
• 
  Jianquan Lu, Daniel W. C. Ho, Jinde Cao, Jürgen Kurths: Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances. 329-336

Volume 22, Number 3, March 2011

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  Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya: Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. 337-346
• 
  Pengsheng Zheng, Jianxiong Zhang, Wansheng Tang: Learning Associative Memories by Error Backpropagation. 347-355
• 
  José de Jesús Rubio, Plamen P. Angelov, Jaime Pacheco: Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network. 356-366
• 
  Junping Zhang, Xiaodan Wang, Uwe Krüger, Fei-Yue Wang: Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces. 367-380
• 
  Wenlian Lu, Lili Wang, Tianping Chen: On Attracting Basins of Multiple Equilibria of a Class of Cellular Neural Networks. 381-394
• 
  Constantinos Panagiotakopoulos, Petroula Tsampouka: The Margitron: A Generalized Perceptron With Margin. 395-407
• 
  Jinliang Ding, Tianyou Chai, Hong Wang: Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization. 408-419
• 
  Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu: Semisupervised Learning Using Negative Labels. 420-432
• 
  Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu: Efficient Sparse Generalized Multiple Kernel Learning. 433-446
• 
  Max Mignotte: MDS-Based Multiresolution Nonlinear Dimensionality Reduction Model for Color Image Segmentation. 447-460
• 
  Aurel A. Lazar, Eftychios A. Pnevmatikakis: Video Time Encoding Machines. 461-473
• 
  Kadim Tasdemir, Pavel Milenov, Brooke Tapsall: Topology-Based Hierarchical Clustering of Self-Organizing Maps. 474-485
• 
  Jinling Liang, Zidong Wang, Xiaohui Liu: Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements. 486-496
• 
  Alma Y. Alanis, Edgar N. Sanchez, Alexander G. Loukianov, Marco A. Pérez Cisneros: Real-Time Recurrent Neural State Estimation. 497-505
• 
  Emilio Soria-Olivas, Juan Gómez-Sanchís, José David Martín-Guerrero, Joan Vila-Francés, Marcelino Martínez-Sober, José Rafael Magdalena Benedito, Antonio J. Serrano: BELM: Bayesian Extreme Learning Machine. 505-509

Volume 22, Number 4, April 2011

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  Mathias M. Adankon, Mohamed Cheriet, Alain Biem: Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM. 513-524
• 
  Daizhan Cheng, Hongsheng Qi, Zhiqiang Li: Model Construction of Boolean Network via Observed Data. 525-536
• 
  Valero Laparra, Gustavo Camps-Valls, Jesus Malo: Iterative Gaussianization: From ICA to Random Rotations. 537-549
• 
  Guoxu Zhou, Zuyuan Yang, Shengli Xie, Jun-Mei Yang: Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint. 550-560
• 
  Chuangxia Huang, Jinde Cao: Convergence Dynamics of Stochastic Cohen-Grossberg Neural Networks With Unbounded Distributed Delays. 561-572
• 
  Hui Xue, Songcan Chen, Qiang Yang: Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. 573-587
• 
  Xiaoyu Wang, Yong Huang: Convergence Study in Extended Kalman Filter-Based Training of Recurrent Neural Networks. 588-600
• 
  Qingshan Liu, Jun Wang: Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions. 601-613
• 
  Kostyantyn Y. Volyanskyy, Wassim M. Haddad, James M. Bailey: Pressure- and Work-Limited Neuroadaptive Control for Mechanical Ventilation of Critical Care Patients. 614-626
• 
  Mario Luca Fravolini, Giampiero Campa: Design of a Neural Network Adaptive Controller via a Constrained Invariant Ellipsoids Technique. 627-638
• 
  Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou: Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. 639-653
• 
  Jian-Bo Yang, Chong Jin Ong: Determination of Global Minima of Some Common Validation Functions in Support Vector Machine. 654-659
• 
  Bo Xie, Meng Wang, Dacheng Tao: Toward the Optimization of Normalized Graph Laplacian. 660-666
• 
  Mauro Di Marco, Massimo Grazzini, Luca Pancioni: Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks. 666-671

Volume 22, Number 5, May 2011

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  Rami N. Mahdi, Eric C. Rouchka: Reduced HyperBF Networks: Regularization by Explicit Complexity Reduction and Scaled Rprop-Based Training. 673-686
• 
  Simone Fiori: Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects. 687-700
• 
  Chao Zhang, Jie Yang, Wei Wu: Binary Higher Order Neural Networks for Realizing Boolean Functions. 701-713
• 
  Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Chris Zhang, Fang-Xiang Wu: Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks. 714-726
• 
  Bipin Kumar Tripathi, Prem Kumar Kalra: On Efficient Learning Machine With Root-Power Mean Neuron in Complex Domain. 727-738
• 
  Dan Zhang, Fei Wang, Luo Si, Tao Li: Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. 739-751
• 
  Tetsuya Hishiki, Hiroyuki Torikai: A Novel Rotate-and-Fire Digital Spiking Neuron and its Neuron-Like Bifurcations and Responses. 752-767
• 
  Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero: Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. 768-780
• 
  Ashfaqur Rahman, Brijesh Verma: Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. 781-792
• 
  Chaofeng Li, Alan Conrad Bovik, Xiaojun Wu: Blind Image Quality Assessment Using a General Regression Neural Network. 793-799
• 
  Jian Yang, Yu Zhao, Hongsheng Xi: Weighted Rule Based Adaptive Algorithm for Simultaneously Extracting Generalized Eigenvectors. 800-806
• 
  Hong-Bing Zeng, Yong He, Min Wu, Chang-Fan Zhang: Complete Delay-Decomposing Approach to Asymptotic Stability for Neural Networks With Time-Varying Delays. 806-812
• 
  Hanyong Shao, Qing-Long Han: New Delay-Dependent Stability Criteria for Neural Networks With Two Additive Time-Varying Delay Components. 812-818
• 
  Xia Hong, Sheng Chen: Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network. 818-825

Volume 22, Number 6, June 2011

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  Sanqing Hu, Guojun Dai, Gregory A. Worrell, Qionghai Dai, Hualou Liang: Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods. 829-844
• 
  Chandra Shekhar Dhir, Soo-Young Lee: Discriminant Independent Component Analysis. 845-857
• 
  Qing Sun, François Schwartz, Jacques Michel, Yannick Hervé, R. Dalmolin: Implementation Study of an Analog Spiking Neural Network for Assisting Cardiac Delay Prediction in a Cardiac Resynchronization Therapy Device. 858-869
• 
  Omar Arif, Patricio A. Vela: Kernel Map Compression for Speeding the Execution of Kernel-Based Methods. 870-879
• 
  Yuli Chen, Sung-Kee Park, Yide Ma, R. Ala: A New Automatic Parameter Setting Method of a Simplified PCNN for Image Segmentation. 880-892
• 
  Jian-Xin Xu, Rui Yan: Adaptive Learning Control for Finite Interval Tracking Based on Constructive Function Approximation and Wavelet. 893-905
• 
  Khan M. Iftekharuddin: Transformation Invariant On-Line Target Recognition. 906-918
• 
  Johannes Partzsch, René Schüffny: Analyzing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural Networks. 919-935
• 
  Arjpolson Pukrittayakamee, Martin Hagan, Lionel Raff, Satish T. S. Bukkapatnam, Ranga Komanduri: Practical Training Framework for Fitting a Function and Its Derivatives. 936-947
• 
  Fangfei Li, Jitao Sun, Qidi Wu: Observability of Boolean Control Networks With State Time Delays. 948-954
• 
  Jian-Bo Yang, Chong Jin Ong: Feature Selection Using Probabilistic Prediction of Support Vector Regression. 954-962
• 
  Yuan-Hai Shao, Chun-Hua Zhang, Xiao-Bo Wang, Nai-Yang Deng: Improvements on Twin Support Vector Machines. 962-968
• 
  Xun Liang, Zhihao Ni: Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space. 968-975
• 
  Zhiguang Feng, James Lam: Stability and Dissipativity Analysis of Distributed Delay Cellular Neural Networks. 976-981
• 
  Hoang Xuan Huan, Dang Thi Thu Hien, Huu Tue Huynh: Efficient Algorithm for Training Interpolation RBF Networks With Equally Spaced Nodes. 982-988
• 
  Terry Windeatt, Rakkrit Duangsoithong, Raymond S. Smith: Embedded Feature Ranking for Ensemble MLP Classifiers. 988-994

Volume 22, Number 7, July 2011

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  Ezequiel López-Rubio, Esteban J. Palomo: Growing Hierarchical Probabilistic Self-Organizing Graphs. 997-1008
• 
  X. Liu, T. Chen: Cluster Synchronization in Directed Networks Via Intermittent Pinning Control. 1009-1020
• 
  Lei Zhang, Zhang Yi: Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function. 1021-1031
• 
  Z. Wang, H. Zhang, B. Jiang: LMI-Based Approach for Global Asymptotic Stability Analysis of Recurrent Neural Networks with Various Delays and Structures. 1032-1045
• 
  Gonzalo Carvajal, Miguel Figueroa, Daniel Sbarbaro, Waldo Valenzuela: Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm. 1046-1060
• 
  Sundaram Suresh, Ramaswamy Savitha, Narasimhan Sundararajan: A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN. 1061-1072
• 
  S. C. Tong, Y. M. Li, H.-G. Zhang: Adaptive Neural Network Decentralized Backstepping Output-Feedback Control for Nonlinear Large-Scale Systems With Time Delays. 1073-1086
• 
  Vincent Gripon, Claude Berrou: Sparse Neural Networks With Large Learning Diversity. 1087-1096
• 
  R. Wang, Z. Zhang, J. Qu, J. Cao: Phase Synchronization Motion and Neural Coding in Dynamic Transmission of Neural Information. 1097-1106
• 
  W.-T. Zhang, S.-T. Lou: Iterative Algorithm for Joint Zero Diagonalization With Application in Blind Source Separation. 1107-1118
• 
  Z. Fan, Y. Xu, D. Zhang: Local Linear Discriminant Analysis Framework Using Sample Neighbors. 1119-1132
• 
  J. Fu, H. He, X. Zhou: Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming. 1133-1148
• 
  Y. Wang, Y. Jiang, Y. Wu, Z.-H. Zhou: Spectral Clustering on Multiple Manifolds. 1149-1161
• 
  Yan-Jun Liu, C. L. Philip Chen, G.-X. Wen, Shaocheng Tong: Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems. 1162-1167

Volume 22, Number 8, August 2011

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  Xuemei Ren, Xiaohua Lv: Identification of Extended Hammerstein Systems Using Dynamic Self-Optimizing Neural Networks. 1169-1179
• 
  Xian-Ming Zhang, Qing-Long Han: Global Asymptotic Stability for a Class of Generalized Neural Networks With Interval Time-Varying Delays. 1180-1192
• 
  Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic: Quaternion-Valued Nonlinear Adaptive Filtering. 1193-1206
• 
  Yu Zhang, Dit-Yan Yeung: Semisupervised Generalized Discriminant Analysis. 1207-1217
• 
  Naiyang Guan, Dacheng Tao, Zhigang Luo, Bo Yuan: Non-Negative Patch Alignment Framework. 1218-1230
• 
  Wenjun Xiong, Daniel W. C. Ho, Zidong Wang: Consensus Analysis of Multiagent Networks via Aggregated and Pinning Approaches. 1231-1240
• 
  Vladimir Cherkassky, Sauptik Dhar, Wuyang Dai: Practical Conditions for Effectiveness of the Universum Learning. 1241-1255
• 
  Yiguang Liu, Shuzhi Sam Ge, Chunguang Li, Zhisheng You: k-NS: A Classifier by the Distance to the Nearest Subspace. 1256-1268
• 
  Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Harold Molina-Bulla: Support Vector Machines With Constraints for Sparsity in the Primal Parameters. 1269-1283
• 
  Cong Wang, Tianrui Chen: Rapid Detection of Small Oscillation Faults via Deterministic Learning. 1284-1296
• 
  Jian Wang, Jie Yang, Wei Wu: Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. 1297-1306
• 
  Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu: ell_p-ell_q Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. 1307-1320
• 
  Niceto R. Luque, Jesús Alberto Garrido, Richard R. Carrillo, Olivier J. M. D. Coenen, Eduardo Ros: Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks. 1321-1328
• 
  Yan-Jun Liu, Shaocheng Tong, Dan Wang, Tieshan Li, C. L. Philip Chen: Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems. 1328-1334
• 
  Terry Windeatt, Cemre Zor: Minimising Added Classification Error Using Walsh Coefficients. 1334-1339

Volume 22, Number 9, September 2011

• 
  Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya: Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. 1341-1356
• 
  Ruxandra L. Costea, Corneliu A. Marinov: New Accurate and Flexible Design Procedure for a Stable KWTA Continuous Time Network. 1357-1367
• 
  Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli: SortNet: Learning to Rank by a Neural Preference Function. 1368-1380
• 
  Hanwen Ning, Xingjian Jing, Li Cheng: Online Identification of Nonlinear Spatiotemporal Systems Using Kernel Learning Approach. 1381-1394
• 
  Canh Hao Nguyen, Hiroshi Mamitsuka: Discriminative Graph Embedding for Label Propagation. 1395-1405
• 
  Christoph Hametner, Stefan Jakubek: Nonlinear Identification With Local Model Networks Using GTLS Techniques and Equality Constraints. 1406-1418
• 
  Miguel Almeida, Jan-Hendrik Schleimer, José M. Bioucas-Dias, Ricardo Vigário: Source Separation and Clustering of Phase-Locked Subspaces. 1419-1434
• 
  Sotirios P. Chatzis, Yiannis Demiris: Echo State Gaussian Process. 1435-1445
• 
  Fei Wang, Bin Zhao, Changshui Zhang: Unsupervised Large Margin Discriminative Projection. 1446-1456
• 
  Min Han, Jianchao Fan, Jun Wang: A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control. 1457-1468
• 
  Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman: Parallel Reservoir Computing Using Optical Amplifiers. 1469-1481
• 
  Kazuhiro Shimonomura, Seiji Kameda, Atsushi Iwata, Tetsuya Yagi: Wide-Dynamic-Range APS-Based Silicon Retina With Brightness Constancy. 1482-1493
• 
  Haiquan Zhao, Xiangping Zeng, Zhengyou He: Low-Complexity Nonlinear Adaptive Filter Based on a Pipelined Bilinear Recurrent Neural Network. 1494-1507
• 
  Bo Liu, Wenlian Lu, Tianping Chen: Generalized Halanay Inequalities and Their Applications to Neural Networks With Unbounded Time-Varying Delays. 1508-1513

Volume 22, Number 10, October 2011

• 
  Ryan Elwell, Robi Polikar: Incremental Learning of Concept Drift in Nonstationary Environments. 1517-1531
• 
  Haijun Zhang, Gang Liu, Tommy W. S. Chow, Wenyin Liu: Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach. 1532-1546
• 
  Jie Lian, Zhi Feng, Peng Shi: Observer Design for Switched Recurrent Neural Networks: An Average Dwell Time Approach. 1547-1556
• 
  Shyan-Shiou Chen: Chaotic Simulated Annealing by a Neural Network With a Variable Delay: Design and Application. 1557-1565
• 
  Zhengguang Wu, Peng Shi, Hongye Su, Jian Chu: Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays. 1566-1575
• 
  Francesco Dinuzzo: Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods. 1576-1587
• 
  Saman Razavi, Bryan A. Tolson: A New Formulation for Feedforward Neural Networks. 1588-1598
• 
  Yuntong Wen, Xuemei Ren: Neural Networks-Based Adaptive Control for Nonlinear Time-Varying Delays Systems With Unknown Control Direction. 1599-1612
• 
  Masayuki Karasuyama, Ichiro Takeuchi: Nonlinear Regularization Path for Quadratic Loss Support Vector Machines. 1613-1625
• 
  Guoxu Zhou, Shengli Xie, Zuyuan Yang, Jun-Mei Yang, Zhaoshui He: Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts. 1626-1637
• 
  Dany Merhej, Chaouki Diab, Mohamad Khalil, Rémy Prost: Embedding Prior Knowledge Within Compressed Sensing by Neural Networks. 1638-1649
• 
  Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos: Efficient Revised Simplex Method for SVM Training. 1650-1661
• 
  Yun Chen, Wei Xing Zheng: Stability and L₂ Performance Analysis of Stochastic Delayed Neural Networks. 1662-1668
• 
  Wai Keung Wong, Mingming Sun: Deep Learning Regularized Fisher Mappings. 1668-1675
• 
  Lin Xiao, Yunong Zhang: Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities. 1676-1684

Volume 22, Number 11, 2011

• 
  Fang-Xiang Wu: Delay-Independent Stability of Genetic Regulatory Networks. 1685-1693
• 
  Xiaobing Nie, Jinde Cao: Multistability of Second-Order Competitive Neural Networks With Nondecreasing Saturated Activation Functions. 1694-1708
• 
  Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow: Decentralized Dynamic Surface Control of Large-Scale Interconnected Systems in Strict-Feedback Form Using Neural Networks With Asymptotic Stabilization. 1709-1722
• 
  Ryad Benosman, Sio-Hoi Ieng, Paul Rogister, Christoph Posch: Asynchronous Event-Based Hebbian Epipolar Geometry. 1723-1734
• 
  Jianxiong Zhang, Wansheng Tang, Pengsheng Zheng: Estimating the Ultimate Bound and Positively Invariant Set for a Class of Hopfield Networks. 1735-1743
• 
  Ke Chen, Ahmad Salman: Learning Speaker-Specific Characteristics With a Deep Neural Architecture. 1744-1756
• 
  Shahab Mehraeen, Sarangapani Jagannathan: Decentralized Optimal Control of a Class of Interconnected Nonlinear Discrete-Time Systems by Using Online Hamilton-Jacobi-Bellman Formulation. 1757-1769
• 
  Xing-Bao Gao, Li-Zhi Liao: Stability and Convergence Analysis for a Class of Neural Networks. 1770-1782
• 
  Yajun Zhang, Tianyou Chai, Hong Wang: A Nonlinear Control Method Based on ANFIS and Multiple Models for a Class of SISO Nonlinear Systems and Its Application. 1783-1795
• 
  Feiping Nie, Zinan Zeng, Ivor W. Tsang, Dong Xu, Changshui Zhang: Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering. 1796-1808
• 
  Lan-Da Van, Di-You Wu, Chien-Shiun Chen: Energy-Efficient FastICA Implementation for Biomedical Signal Separation. 1809-1822
• 
  Tatt Hee Oong, Nor Ashidi Mat Isa: Adaptive Evolutionary Artificial Neural Networks for Pattern Classification. 1823-1836
• 
  Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro Ameneiro: Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks. 1837-1848

Volume 22, Number 12, Part 1, December 2011

• 
  Derong Liu: Editorial: The Blossoming of the IEEE Transactions on Neural Networks. 1850
• 
  Huaguang Zhang, Ruizhuo Song, Qinglai Wei, Tieyan Zhang: Optimal Tracking Control for a Class of Nonlinear Discrete-Time Systems With Time Delays Based on Heuristic Dynamic Programming. 1851-1862
• 
  Xin Xu, Chunming Liu, Simon X. Yang, Dewen Hu: Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition. 1863-1877
• 
  Zhirong Yang, Erkki Oja: Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. 1878-1891
• 
  Zhishan Guo, Qingshan Liu, Jun Wang: A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints. 1892-1900
• 
  Haibo He, Sheng Chen, Kang Li, Xin Xu: Incremental Learning From Stream Data. 1901-1914
• 
  Fopefolu O. Folowosele, Tara Julia Hamilton, Ralph Etienne-Cummings: Silicon Modeling of the Mihalaş-Niebur Neuron. 1915-1927
• 
  Sau Wai Tung, Chai Quek, Cuntai Guan: SaFIN: A Self-Adaptive Fuzzy Inference Network. 1928-1940
• 
  Luka Teslic, Benjamin Hartmann, Oliver Nelles, Igor Skrjanc: Nonlinear System Identification by Gustafson-Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process. 1941-1951
• 
  Yan Meng, Yaochu Jin, Jun Yin: Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition. 1952-1966
• 
  Soroush Javidi, Clive Cheong Took, Danilo P. Mandic: Fast Independent Component Analysis Algorithm for Quaternion Valued Signals. 1967-1978
• 
  Yan-Wu Wang, Jiang-Wen Xiao, Changyun Wen, Zhi-Hong Guan: Synchronization of Continuous Dynamical Networks With Discrete-Time Communications. 1979-1986
• 
  Junping Zhang, Qi Wang, Li He, Zhi-Hua Zhou: Quantitative Analysis of Nonlinear Embedding. 1987-1998
• 
  Cheng Hu, Juan Yu, Haijun Jiang, Zhidong Teng: Exponential Synchronization of Complex Networks With Finite Distributed Delays Coupling. 1999-2010
• 
  Grigorios Skolidis, Guido Sanguinetti: Bayesian Multitask Classification With Gaussian Process Priors. 2011-2021
• 
  David He, Ruoyu Li, Junda Zhu, Mikhail Zade: Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors. 2022-2031
• 
  Bruno Apolloni, Simone Bassis, Elena Pagani, Gian Paolo Rossi, Lorenzo Valerio: Mobility Timing for Agent Communities, a Cue for Advanced Connectionist Systems. 2032-2049
• 
  Yu Su, Shiguang Shan, Xilin Chen, Wen Gao: Classifiability-Based Discriminatory Projection Pursuit. 2050-2061
• 
  Jianjun Ni, Simon X. Yang: Bioinspired Neural Network for Real-Time Cooperative Hunting by Multirobots in Unknown Environments. 2062-2077
• 
  Chiara Brighenti, Miguel A. Sanz-Bobi: Auto-Regressive Processes Explained by Self-Organized Maps. Application to the Detection of Abnormal Behavior in Industrial Processes. 2078-2090
• 
  Rafal Dlugosz, Marta Kolasa, Witold Pedrycz, Michal Szulc: Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. 2091-2104
• 
  Jin-Liang Wang, Huai-Ning Wu, Lei Guo: Passivity and Stability Analysis of Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions. 2105-2116
• 
  Zhaoshui He, Shengli Xie, Rafal Zdunek, Guoxu Zhou, Andrzej Cichocki: Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. 2117-2131
• 
  Simone Fiori: Riemannian-Gradient-Based Learning on the Complex Matrix-Hypersphere. 2132-2138
• 
  Tao Li, Wei Xing Zheng, Chong Lin: Delay-Slope-Dependent Stability Results of Recurrent Neural Networks. 2138-2143
• 
  Jie Cheng, Mohammad R. Sayeh, Mehdi R. Zargham, Qiang Cheng: Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations. 2143-2148

Volume 22, Number 12, Part 2, December 2011

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  Tianyou Chai, Zhongsheng Hou, Frank L. Lewis, Amir Hussain, Dongbin Zhao: Guest Editorial Data-Based Control, Modeling, and Optimization. 2150-2153
• 
  Tianyou Chai, Yajun Zhang, Hong Wang, Chun-Yi Su, Jing Sun: Data-Based Virtual Unmodeled Dynamics Driven Multivariable Nonlinear Adaptive Switching Control. 2154-2172
• 
  Zhongsheng Hou, Shangtai Jin: Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems. 2173-2188
• 
  Chow Yin Lai, Cheng Xiang, Tong Heng Lee: Data-Based Identification and Control of Nonlinear Systems via Piecewise Affine Approximation. 2189-2200
• 
  Xiaohui Liu, Hong Chen, Ping Wang, Bingzhao Gao: Design of a Data-Driven Predictive Controller for Start-up Process of AMT Vehicles. 2201-2212
• 
  Deyuan Meng, Yingmin Jia, Junping Du, Fashan Yu: Data-Driven Control for Relative Degree Systems via Iterative Learning. 2213-2225
• 
  Huaguang Zhang, Lili Cui, Xin Zhang, Yanhong Luo: Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method. 2226-2236
• 
  Dong Shen, Zhongsheng Hou: Iterative Learning Control With Unknown Control Direction: A Novel Data-Based Approach. 2237-2249
• 
  Gang Li, Baosheng Liu, S. Joe Qin, Donghua Zhou: Quality Relevant Data-Driven Modeling and Monitoring of Multivariate Dynamic Processes: The Dynamic T-PLS Approach. 2262-2271
• 
  Chuanhou Gao, Ling Jian, Xueyi Liu, Jiming Chen, Youxian Sun: Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System. 2272-2283
• 
  Qiang Liu, Tianyou Chai, Hong Wang, Si-Zhao Joe Qin: Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes. 2284-2295
• 
  Chi-Yuan Yeh, Wen-Hau Roger Jeng, Shie-Jue Lee: Data-Based System Modeling Using a Type-2 Fuzzy Neural Network With a Hybrid Learning Algorithm. 2296-2309
• 
  Keem Siah Yap, Chee Peng Lim, Mau Teng Au: Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems. 2310-2323
• 
  Puya Afshar, Martin Brown, Jan M. Maciejowski, Hong Wang: Data-Based Robust Multiobjective Optimization of Interconnected Processes: Energy Efficiency Case Study in Papermaking. 2324-2338
• 
  Huaguang Zhang, Jinhai Liu, Dazhong Ma, Zhanshan Wang: Data-Core-Based Fuzzy Min-Max Neural Network for Pattern Classification. 2339-2352
• 
  Stelios D. Bekiros: Sign Prediction and Volatility Dynamics With Hybrid Neurofuzzy Approaches. 2353-2362
• 
  Mircea-Bogdan Radac, Radu-Emil Precup, Emil M. Petriu, Stefan Preitl: Application of IFT and SPSA to Servo System Control. 2363-2375
• 
  Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li: Neural Network-Based Multiple Robot Simultaneous Localization and Mapping. 2376-2387
• 
  Zhuo Wang, Derong Liu: Data-Based Controllability and Observability Analysis of Linear Discrete-Time Systems. 2388-2392
• 
  Yu Jiang, Zhong-Ping Jiang: Approximate Dynamic Programming for Optimal Stationary Control With Control-Dependent Noise. 2392-2398
• 
  Van Luong Le, Gérard Bloch, Fabien Lauer: Reduced-Size Kernel Models for Nonlinear Hybrid System Identification. 2398-2405
• 
  Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada: Guest Editorial White Box Nonlinear Prediction Models. 2406-2408
• 
  Rafael V. Borges, Artur S. d'Avila Garcez, Luís C. Lamb: Learning and Representing Temporal Knowledge in Recurrent Networks. 2409-2421
• 
  Luis A. Diago, Tetsuko Kitaoka, Ichiro Hagiwara, Toshiki Kambayashi: Neuro-Fuzzy Quantification of Personal Perceptions of Facial Images Based on a Limited Data Set. 2422-2434
• 
  Jan Chorowski, Jacek M. Zurada: Extracting Rules From Neural Networks as Decision Diagrams. 2435-2446
• 
  Ya-Jun Qu, Bao-Gang Hu: Generalized Constraint Neural Network Regression Model Subject to Linear Priors. 2447-2459
• 
  Qing Song: Robust Initialization of a Jordan Network With Recurrent Constrained Learning. 2460-2473

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