IEEE Transactions on Neural Networks, Volume 19

Volume 19, Number 1, January 2008

• Marios M. Polycarpou:
  Editorial: A New Era for the IEEE Transactions on Neural Networks. 1-2
  
• Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
  A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles. 3-17
  
• Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
  MPCA: Multilinear Principal Component Analysis of Tensor Objects. 18-39
  
• Fernando Fernández, Pedro Isasi:
  Local Feature Weighting in Nearest Prototype Classification. 40-53
  
• Rong-Jong Wai, Jeng-Dao Lee:
  Adaptive Fuzzy-Neural-Network Control for Maglev Transportation System. 54-70
  
• Xinzhi Liu, Qing Wang:
  Impulsive Stabilization of High-Order Hopfield-Type Neural Networks With Time-Varying Delays. 71-79
  
• Tomohisa Hayakawa, Wassim M. Haddad, Naira Hovakimyan:
  Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees. 80-89
  
• Z. Chen, S. Jagannathan:
  Generalized Hamilton-Jacobi-Bellman Formulation -Based Neural Network Control of Affine Nonlinear Discrete-Time Systems. 90-106
  
• Youshen Xia, Mohamed S. Kamel:
  A Generalized Least Absolute Deviation Method for Parameter Estimation of Autoregressive Signals. 107-118
  
• Jian Xun Peng, Kang Li, George W. Irwin:
  A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks. 119-129
  
• Mehmet Gönen, Ayse Gönül Tanugur, Ethem Alpaydin:
  Multiclass Posterior Probability Support Vector Machines. 130-139
  
• Z. Yuan, L. Huang, D. Hu, B. Liu:
  Convergence of Nonautonomous Cohen-Grossberg-Type Neural Networks With Variable Delays. 140-147
  
• Manli Zhu, Aleix M. Martínez:
  Pruning Noisy Bases in Discriminant Analysis. 148-157
  
• Lei Zhang, Zhang Yi, Jiali Yu:
  Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions. 158-167
  
• A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski:
  Unsupervised Segmentation With Dynamical Units. 168-182
  
• Mo Chen, Temujin Gautama, Danilo P. Mandic:
  An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks. 183-189
  
• Q. Tao, D. Chu, J. Wang:
  Recursive Support Vector Machines for Dimensionality Reduction. 189-193
  
• Xia Hong, Sheng Chen, Chris J. Harris:
  A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. 193-198
  
• D. Wang, G. Brown:
  Computational Auditory Scene Analysis: Principles, Algorithms, and Applications. 199
  

Volume 19, Number 2, February 2008

• Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng:
  Preliminary Study on Wilcoxon Learning Machines. 201-211
  
• Benny B. Nasution, Asad I. Khan:
  A Hierarchical Graph Neuron Scheme for Real-Time Pattern Recognition. 212-229
  
• Ah-Hwee Tan, N. Lu, Dan Xiao:
  Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback. 230-244
  
• Gary G. Yen, Zhen Wu:
  Ranked Centroid Projection: A Data Visualization Approach With Self-Organizing Maps. 245-259
  
• Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
  Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. 260-272
  
• Zhishun Wang, Bradley S. Peterson:
  Constrained Least Absolute Deviation Neural Networks. 273-283
  
• Juan Ignacio Mulero Martínez:
  Best Approximation of Gaussian Neural Networks With Nodes Uniformly Spaced. 284-298
  
• Rudy Setiono, Bart Baesens, Christophe Mues:
  Recursive Neural Network Rule Extraction for Data With Mixed Attributes. 299-307
  
• Derong Liu, Zhongyu Pang, Stephen R. Lloyd:
  A Neural Network Method for Detection of Obstructive Sleep Apnea and Narcolepsy Based on Pupil Size and EEG. 308-318
  
• Wei Wu, Tianping Chen:
  Global Synchronization Criteria of Linearly Coupled Neural Network Systems With Time-Varying Coupling. 319-332
  
• Renzo Perfetti, Elisa Ricci:
  Recurrent Correlation Associative Memories: A Feature Space Perspective. 333-345
  
• Anke Meyer-Bäse, Vera Thümmler:
  Local and Global Stability Analysis of an Unsupervised Competitive Neural Network. 346-351
  
• Wu Yilei, Song Qing, Liu Sheng:
  A Normalized Adaptive Training of Recurrent Neural Networks With Augmented Error Gradient. 351-356
  
• M. Fatih Amasyali, Okan Ersoy:
  Cline: A New Decision-Tree Family. 356-363
  
• Loris Nanni, Alessandra Lumini:
  Evolved Feature Weighting for Random Subspace Classifier. 363-366
  
• H. Zhang, Y. Wang:
  Stability Analysis of Markovian Jumping Stochastic Cohen-Grossberg Neural Networks With Mixed Time Delays. 366-370
  
• Cheol-Taek Kim, Ju-Jang Lee:
  Training Two-Layered Feedforward Networks With Variable Projection Method. 371-375
  
• Sergios Theodoridis, Konstantinos Koutroumbas:
  Pattern Recognition. 376
  
• Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk:
  Nearest-Neighbor Methods in Learning and Vision. 377
  

Volume 19, Number 3, March 2008

• Debrup Chakraborty, Nikhil R. Pal:
  Selecting Useful Groups of Features in a Connectionist Framework. 381-396
  
• Xin-Ge Liu, Ralph R. Martin, Min Wu, Mei-Lan Tang:
  Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays. 397-407
  
• Hualiang Li, Tülay Adali:
  A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function. 408-420
  
• Petr Tichavský, Zbynek Koldovský, Arie Yeredor, Germán Gómez-Herrero, Eran Doron:
  A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach. 421-430
  
• Enrique Romero, Josep M. Sopena:
  Performing Feature Selection With Multilayer Perceptrons. 431-441
  
• Dominik Brugger, Martin Bogdan, Wolfgang Rosenstiel:
  Automatic Cluster Detection in Kohonen's SOM. 442-459
  
• Jianming Lian, Yonggon Lee, Scott D. Sudhoff, Stanislaw H. Zak:
  Self-Organizing Radial Basis Function Network for Real-Time Approximation of Continuous-Time Dynamical Systems. 460-474
  
• Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems:
  Two-Microphone Separation of Speech Mixtures. 475-492
  
• Chi-Sing Leung, J. P. F. Sum:
  A Fault-Tolerant Regularizer for RBF Networks. 493-507
  
• Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan:
  An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. 508-519
  
• Jinde Cao, Fengli Ren:
  Exponential Stability of Discrete-Time Genetic Regulatory Networks With Delays. 520-523
  
• Ning Jin, Derong Liu:
  Wavelet Basis Function Neural Networks for Sequential Learning. 523-528
  
• Yi Shen, Jun Wang:
  An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks With Time-Varying Delays. 528-531
  
• Shaoshuai Mou, Huijun Gao, James Lam, Wenyi Qiang:
  A New Criterion of Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time Delay. 532-535
  
• Rubin Wang, Zhikang Zhang, Guanrong Chen:
  Energy Function and Energy Evolution on Neuronal Populations. 535-538
  
• Cristian Filici:
  On a Neural Approximator to ODEs. 539-543
  
• George M. Georgiou:
  Complex-Valued Neural Networks (Hirose, A.; 2006) [Book review]. 544
  

Volume 19, Number 4, April 2008

• Xuyang Lou, Baotong Cui:
  Delay-Dependent Criteria for Global Robust Periodicity of Uncertain Switched Recurrent Neural Networks With Time-Varying Delay. 549-557
  
• Qingshan Liu, Jun Wang:
  A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. 558-570
  
• Haixian Wang, Sibao Chen, Zilan Hu, Wenming Zheng:
  Locality-Preserved Maximum Information Projection. 571-585
  
• David Masip, Jordi Vitrià:
  Shared Feature Extraction for Nearest Neighbor Face Recognition. 586-595
  
• Mike Novey, Tülay Adali:
  Complex ICA by Negentropy Maximization. 596-609
  
• Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok:
  Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. 610-624
  
• A. Singh, Hiok Chai Quek, Siu-Yeung Cho:
  DCT-Yager FNN: A Novel Yager-Based Fuzzy Neural Network With the Discrete Clustering Technique. 625-644
  
• Snorre Aunet, Bengt Oelmann, P. A. Norseng, Yngvar Berg:
  Real-Time Reconfigurable Subthreshold CMOS Perceptron. 645-657
  
• Michael J. Mendenhall, Erzsébet Merényi:
  Relevance-Based Feature Extraction for Hyperspectral Images. 658-672
  
• Changchun Hua, Xinping Guan:
  Output Feedback Stabilization for Time-Delay Nonlinear Interconnected Systems Using Neural Networks. 673-688
  
• Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai:
  PSECMAC: A Novel Self-Organizing Multiresolution Associative Memory Architecture. 689-712
  
• Yoshua Bengio, Jean-Sébastien Senecal:
  Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model. 713-722
  
• Luis González Abril, Cecilio Angulo, Francisco Velasco, Juan Antonio Ortega:
  A Note on the Bias in SVMs for Multiclassification. 723-725
  
• Tao Li, Lei Guo, Changyin Sun, Chong Lin:
  Further Results on Delay-Dependent Stability Criteria of Neural Networks With Time-Varying Delays. 726-730
  
• Edgar N. Sanchez, Alma Y. Alanis:
  Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches (Farrell, J.A. and Polycarpou, M.M. [Book review]. 731-732
  

Volume 19, Number 5, May 2008

• Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo:
  Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. 737-745
  
• Huicheng Zheng, Grégoire Lefebvre, Christophe Laurent:
  Fast-Learning Adaptive-Subspace Self-Organizing Map: An Application to Saliency-Based Invariant Image Feature Construction. 746-757
  
• Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang:
  Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. 758-769
  
• Josep Freixas, Xavier Molinero:
  The Greatest Allowed Relative Error in Weights and Threshold of Strict Separating Systems. 770-781
  
• Bo Gao, Weinian Zhang:
  Equilibria and Their Bifurcations in a Recurrent Neural Network Involving Iterates of a Transcendental Function. 782-794
  
• Huai-Ning Wu, Han-Xiong Li:
  A Galerkin/Neural-Network-Based Design of Guaranteed Cost Control for Nonlinear Distributed Parameter Systems. 795-807
  
• Min Qi, G. Peter Zhang:
  Trend Time-Series Modeling and Forecasting With Neural Networks. 808-816
  
• Qing Song, James C. Spall, Yeng Chai Soh, Jie Ni:
  Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation. 817-835
  
• S. Trenn:
  Multilayer Perceptrons: Approximation Order and Necessary Number of Hidden Units. 836-844
  
• Wenwu Yu, Jinde Cao, Guanrong Chen:
  Stability and Hopf Bifurcation of a General Delayed Recurrent Neural Network. 845-854
  
• Huaguang Zhang, Zhanshan Wang, Derong Liu:
  Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays. 855-873
  
• S. Gazut, J.-M. Martinez, Gérard Dreyfus, Yacine Oussar:
  Towards the Optimal Design of Numerical Experiments. 874-882
  
• Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada, Jaakko Astola:
  Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. 883-898
  
• Katherine L. Cameron, Alan F. Murray:
  Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation. 899-913
  
• Randa Herzallah, David Lowe:
  A Bayesian Perspective on Stochastic Neurocontrol. 914-924
  
• Wlodzislaw Duch:
  Robot Brains. Circuits and Systems for Conscious Machines (P. Haikonen; 2007) [Book review]. 925-926
  

Volume 19, Number 6, June 2008

• Roman Ilin, Robert Kozma, Paul J. Werbos:
  Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. 929-937
  
• Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Hak-Keung Lam, Muhammad H. U. Nasir:
  Global Convergence and Limit Cycle Behavior of Weights of Perceptron. 938-947
  
• Dong-Chul Park, Oh-Hyun Kwon, Jio Chung:
  Centroid Neural Network With a Divergence Measure for GPDF Data Clustering. 948-957
  
• Kuo-Kai Shyu, Ming-Huan Lee, Yu-Te Wu, Po-Lei Lee:
  Implementation of Pipelined FastICA on FPGA for Real-Time Blind Source Separation. 958-970
  
• Norikazu Takahashi, Jun Guo, Tetsuo Nishi:
  Global Convergence of SMO Algorithm for Support Vector Regression. 971-982
  
• Yinyin Liu, Janusz A. Starzyk, Zhen Zhu:
  Optimized Approximation Algorithm in Neural Networks Without Overfitting. 983-995
  
• Silvia Ferrari, Mark Jensenius:
  A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training. 996-1009
  
• Yicong Meng, Bertram Emil Shi:
  Adaptive Gain Control for Spike-Based Map Communication in a Neuromorphic Vision System. 1010-1021
  
• Hao Shen, Martin Kleinsteuber, Knut Hüper:
  Local Convergence Analysis of FastICA and Related Algorithms. 1022-1032
  
• Claudio Turchetti, Paolo Crippa, Massimiliano Pirani, Giorgio Biagetti:
  Representation of Nonlinear Random Transformations by Non-Gaussian Stochastic Neural Networks. 1033-1060
  
• Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov:
  Incremental Learning of Chunk Data for Online Pattern Classification Systems. 1061-1074
  
• Jun Xu, Yong-Yan Cao, Youxian Sun, Jinshan Tang:
  Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function. 1075-1089
  
• Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas:
  Nonnegative Matrix Factorization in Polynomial Feature Space. 1090-1100
  
• Antony Browne, Angela Jakary, S. Vinogradov, Yu Fu, Raymond Deicken:
  Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia. 1101-1107
  
• Alberto Faro, Daniela Giordano, Concetto Spampinato:
  Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images. 1108-1129
  
• A. de Medeiros Brito, Adrião Duarte Dória Neto, Jorge Dantas de Melo, L. M. Garcia Goncalves:
  An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds. 1130-1140
  
• Laxmidhar Behera, Swagat Kumar, Awhan Patnaik:
  Corrections to "On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks" [Sep 06 1116-1125]. 1141
  
• Péter Érdi:
  Neurodynamics of Cognition and Consciousness (Perlovsky, L.I. and Kozma, R., Eds.; 2007) [Book review]. 1142
  

Volume 19, Number 7, July 2008

• Cesare Alippi, Manuel Roveri:
  Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes. 1145-1153
  
• Dongbing Gu:
  Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks. 1154-1166
  
• Yumao Lu, Vwani P. Roychowdhury, Lieven Vandenberghe:
  Distributed Parallel Support Vector Machines in Strongly Connected Networks. 1167-1178
  
• Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy:
  Fault-Tolerant Indirect Adaptive Neurocontrol for a Static Synchronous Series Compensator in a Power Network With Missing Sensor Measurements. 1179-1195
  
• Rafael Serrano-Gotarredona, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Carmen Serrano-Gotarredona, José Antonio Pérez-Carrasco, Bernabé Linares-Barranco, Alejandro Linares-Barranco, Gabriel Jiménez-Moreno, Anton Civit-Ballcels:
  On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing. 1196-1219
  
• Ting-Li Chien, Chung-Cheng Chen, Yi-Chieh Huang, Wen-Jiun Lin:
  Stability and Almost Disturbance Decoupling Analysis of Nonlinear System Subject to Feedback Linearization and Feedforward Neural Network Controller. 1220-1230
  
• Ugur Yuzgec, Yasar Becerikli, Mustafa Türker:
  Dynamic Neural-Network-Based Model-Predictive Control of an Industrial Baker's Yeast Drying Process. 1231-1242
  
• Murad Abu-Khalaf, Frank L. Lewis, Jie Huang:
  Neurodynamic Programmingand Zero-Sum Games for Constrained Control Systems. 1243-1252
  
• Kenji Nagata, Sumio Watanabe:
  Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. 1253-1266
  
• Lipo Wang, Nina Zhou, Feng Chu:
  A General Wrapper Approach to Selection of Class-Dependent Features. 1267-1278
  
• Chaomin Luo, Simon X. Yang:
  A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments. 1279-1298
  
• Dong Yue, Yijun Zhang, Engang Tian, Chen Peng:
  Delay-Distribution-Dependent Exponential Stability Criteria for Discrete-Time Recurrent Neural Networks With Stochastic Delay. 1299-1306
  
• Fei Wang, Changshui Zhang:
  Semisupervised Learning Based on Generalized Point Charge Models. 1307-1311
  

Volume 19, Number 8, August 2008

• Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari:
  Dynamics of Learning in Multilayer Perceptrons Near Singularities. 1313-1328
  
• He Huang, Gang Feng, Jinde Cao:
  Robust State Estimation for Uncertain Neural Networks With Time-Varying Delay. 1329-1339
  
• Youshen Xia, Gang Feng, Jun Wang:
  A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints. 1340-1353
  
• Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
  Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. 1354-1368
  
• Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
  Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation. 1369-1388
  
• Eyal Kolman, Michael Margaliot:
  A New Approach to Knowledge-Based Design of Recurrent Neural Networks. 1389-1401
  
• Gerardo Noriega:
  A Neural Model for Compensation of Sensory Abnormalities in Autism Through Feedback From a Measure of Global Perception. 1402-1414
  
• Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas:
  The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem. 1415-1430
  
• Shuning Wang, Xiaolin Huang, K. M. Khan Junaid:
  Configuration of Continuous Piecewise-Linear Neural Networks. 1431-1445
  
• Liefeng Bo, Ling Wang, Licheng Jiao:
  Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm. 1446-1455
  
• Cristiano Cervellera, Danilo Macciò, Marco Muselli:
  Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. 1456-1467
  
• Nikolaos Gianniotis, Peter Tiño:
  Visualization of Tree-Structured Data Through Generative Topographic Mapping. 1468-1493
  
• L. P. Wang, C. R. Wan:
  Comments on "The Extreme Learning Machine". 1494-1495
  
• Guang-Bin Huang:
  Reply to "Comments on "The Extreme Learning Machine"". 1495-1496
  
• Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi:
  Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems". 1496-1498
  
• Daniel W. C. Ho, Junmin Li, Yugang Niu:
  Reply to "Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems"". 1498
  
• W. Klonowski:
  Complexity Explained (Erdi, P.; 2008) [Book review]. 1499
  

Volume 19, Number 9, September 2008

• Johan A. K. Suykens:
  Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point. 1501-1517
  
• Georg Pölzlbauer, Thomas Lidy, Andreas Rauber:
  Decision Manifolds - A Supervised Learning Algorithm Based on Self-Organization. 1518-1530
  
• Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
  Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. 1531-1548
  
• Paolo Guarneri, Gianpiero Rocca, Massimiliano Gobbi:
  A Neural-Network-Based Model for the Dynamic Simulation of the Tire/Suspension System While Traversing Road Irregularities. 1549-1563
  
• Sheng-Sung Yang, Sammy Siu, Chia-Lu Ho:
  Analysis of the Initial Values in Split-Complex Backpropagation Algorithm. 1564-1573
  
• John Yannis Goulermas, Andrew H. Findlow, C. J. Nester, Panos Liatsis, Xiao-Jun Zeng, Laurence P. J. Kenney, Philip A. Tresadern, Sibylle B. Thies, David Howard:
  An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. 1574-1582
  
• Carlos Alzate, Johan A. K. Suykens:
  Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. 1583-1598
  
• Shuzhi Sam Ge, Chenguang Yang, Tong Heng Lee:
  Adaptive Predictive Control Using Neural Network for a Class of Pure-Feedback Systems in Discrete Time. 1599-1614
  
• Hua Deng, Han-Xiong Li, Yi-Hu Wu:
  Feedback-Linearization-Based Neural Adaptive Control for Unknown Nonaffine Nonlinear Discrete-Time Systems. 1615-1625
  
• Phill Rowcliffe, Jianfeng Feng:
  Training Spiking Neuronal Networks With Applications in Engineering Tasks. 1626-1640
  
• Keem Siah Yap, Chee Peng Lim, I. Z. Abidi:
  A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function. 1641-1646
  
• Hanyong Shao:
  Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays. 1647-1651
  
• Zhenzhen Liu, Itamar Elhanany:
  A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent. 1652-1658
  
• Sheng Chen, Lajos Hanzo, Shuang Tan:
  Symmetric Complex-Valued RBF Receiver for Multiple-Antenna-Aided Wireless Systems. 1659-1665
  

Volume 19, Number 10, October 2008

• M. P. Barbarosou, N. G. Maratos:
  A Nonfeasible Gradient Projection Recurrent Neural Network for Equality-Constrained Optimization Problems. 1665-1677
  
• Heejin Lim, Yoonsuck Choe:
  Extrapolative Delay Compensation Through Facilitating Synapses and Its Relation to the Flash-Lag Effect. 1678-1688
  
• Wei Zuo, Lilong Cai:
  Adaptive-Fourier-Neural-Network-Based Control for a Class of Uncertain Nonlinear Systems. 1689-1701
  
• Naira Hovakimyan, E. Lavretsky, Chengyu Cao:
  Adaptive Dynamic Inversion via Time-Scale Separation. 1702-1711
  
• Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi:
  Adaptive Output Feedback Control of Flexible-Joint Robots Using Neural Networks: Dynamic Surface Design Approach. 1712-1726
  
• Haibo He, Sheng Chen:
  IMORL: Incremental Multiple-Object Recognition and Localization. 1727-1738
  
• Luca Geretti, Antonio Abramo:
  The Correspondence Between Deterministic and Stochastic Digital Neurons: Analysis and Methodology. 1739-1752
  
• Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky:
  A New Solution Path Algorithm in Support Vector Regression. 1753-1767
  
• Shuiwang Ji, Jieping Ye:
  Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection. 1768-1782
  
• Xun-Lin Zhu, Guang-Hong Yang:
  New Delay-Dependent Stability Results for Neural Networks With Time-Varying Delay. 1783-1791
  
• Xun Liang, Rong-Chang Chen, Xinyu Guo:
  Pruning Support Vector Machines Without Altering Performances. 1792-1803
  
• Giovanni Costantini, Renzo Perfetti, Massimiliano Todisco:
  Quasi-Lagrangian Neural Network for Convex Quadratic Optimization. 1804-1809
  
• Tianping Chen, Wei Wu, Wenjuan Zhou:
  Global mu -Synchronization of Linearly Coupled Unbounded Time-Varying Delayed Neural Networks With Unbounded Delayed Coupling. 1809-1816
  
• Enric Farguell, Ferran Mazzanti, Eduardo Gómez-Ramírez:
  Boltzmann Machines Reduction by High-Order Decimation. 1816-1821
  
• Xianchao Xie, Shuicheng Yan, James T. Kwok, Thomas S. Huang:
  Matrix-Variate Factor Analysis and Its Applications. 1821-1826
  
• Olvi L. Mangasarian, Edward W. Wild:
  Nonlinear Knowledge-Based Classification. 1826-1832
  
• Hakan Cevikalp, Robi Polikar:
  Local Classifier Weighting by Quadratic Programming. 1832-1838
  
• Francesco Gianfelici:
  Nonlinear Dynamic Modeling of Physiological Systems (Marmarellis, V.Z.; 2004) [Book review]. 1839-1840
  

Volume 19, Number 11, November 2008

• Qing Song, Yi-Lei Wu, Yeng Chai Soh:
  Robust Adaptive Gradient-Descent Training Algorithm for Recurrent Neural Networks in Discrete Time Domain. 1841-1853
  
• François Bertrand Akoa:
  Combining DC Algorithms (DCAs) and Decomposition Techniques for the Training of Nonpositive-Semidefinite Kernels. 1854-1872
  
• Chenguang Yang, Shuzhi Sam Ge, Cheng Xiang, Tianyou Chai, Tong Heng Lee:
  Output Feedback NN Control for Two Classes of Discrete-Time Systems With Unknown Control Directions in a Unified Approach. 1873-1886
  
• Rodrigo C. de Lamare, Raimundo Sampaio Neto:
  Space-Time Adaptive Decision Feedback Neural Receivers With Data Selection for High-Data-Rate Users in DS-CDMA Systems. 1887-1895
  
• Adnan Khashman:
  A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients. 1896-1909
  
• J. Liang, Z. Wang, Y. Liu, X. Liu:
  Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks. 1910-1921
  
• Davide Bacciu, Antonina Starita:
  Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering. 1922-1941
  
• Huaguang Zhang, Zhanshan Wang, Derong Liu:
  Robust Stability Analysis for Interval Cohen-Grossberg Neural Networks With Unknown Time-Varying Delays. 1942-1955
  
• Jian-Hua Zhao, Philip L. H. Yu:
  Fast ML Estimation for the Mixture of Factor Analyzers via an ECM Algorithm. 1956-1961
  
• Xia Hong, Sheng Chen, Chris J. Harris:
  A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. 1961-1967
  
• Bo Liu, Tianping Chen:
  Consensus in Networks of Multiagents With Cooperation and Competition Via Stochastically Switching Topologies. 1967-1973
  
• Shih-Hau Fang, Tsung-Nan Lin:
  Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments. 1973-1978
  
• Umut Ozertem, Ismail Uysal, Deniz Erdogmus:
  Continuously Differentiable Sample-Spacing Entropy Estimation. 1978-1984
  
• Kai Labusch, Erhardt Barth, Thomas Martinetz:
  Simple Method for High-Performance Digit Recognition Based on Sparse Coding. 1985-1989
  
• Cecilio Angulo:
  Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews]. 1990
  
• Francesco Gianfelici:
  Numerical Solutions of Stochastic Differential Equations (Kloeden, P.K. and Platen, E.; 2008) [Book reviews]. 1991
  

Volume 19, Number 12, December 2008

• Ashok Patel, Bart Kosko:
  Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise. 1993-2008
  
• Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Shengli Xie, Cuntai Guan:
  Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. 2009-2021
  
• Xiaolin Hu, Jun Wang:
  An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. 2022-2031
  
• Jiann-Ming Wu:
  Multilayer Potts Perceptrons With Levenberg-Marquardt Learning. 2032-2043
  
• Bo Liu, Zhifeng Hao, Eric C. C. Tsang:
  Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. 2044-2052
  
• Cesare Alippi, Manuel Roveri:
  Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier. 2053-2064
  
• Jianbo Liu, Dragan Djurdjanovic:
  Topology Preservation and Cooperative Learning in Identification of Multiple Model Systems. 2065-2072
  
• Sarangapani Jagannathan, Pingan He:
  Neural-Network-Based State Feedback Control of a Nonlinear Discrete-Time System in Nonstrict Feedback Form. 2073-2087
  
• Jian Yang, Chengjun Liu:
  Color Image Discriminant Models and Algorithms for Face Recognition. 2088-2098
  
• De-Shuang Huang, Ji-Xiang Du:
  A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks. 2099-2115
  
• Lei Wang, Kap Luk Chan, Ping Xue, Luping Zhou:
  A Kernel-Induced Space Selection Approach to Model Selection in KLDA. 2116-2131
  
• Hong Pan, Liang-Zheng Xia:
  Efficient Object Recognition Using Boundary Representation and Wavelet Neural Network. 2132-2149
  
• Andreas Brandstetter, Alessandro Artusi:
  Radial Basis Function Networks GPU-Based Implementation. 2150-2154
  
• Wu-Hua Chen, Wei Xing Zheng:
  Improved Delay-Dependent Asymptotic Stability Criteria for Delayed Neural Networks. 2154-2161
  

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