Volume 21, Number 1, January 2010

• 
  Derong Liu: Editorial: the IEEE transactions on neural networks 2010 and beyond. 1-2
• 
  Zidong Wang, Yao Wang, Yurong Liu: Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays. 11-25
• 
  Xun Liang: An effective method of pruning support vector machine classifiers. 26-38
• 
  Zhanshan Wang, Huaguang Zhang: Global asymptotic stability of reaction-diffusion Cohen-Grossberg neural networks with continuously distributed delays. 39-49
• 
  Travis Dierks, Sarangapani Jagannathan: Output feedback control of a quadrotor UAV using neural networks. 50-66
• 
  Cheng Hu, Haijun Jiang, Zhidong Teng: Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms. 67-81
• 
  Yong Xiang, Sze Kui Ng, Van Khanh Nguyen: Blind separation of mutually correlated sources using precoders. 82-90
• 
  Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang, Zhanshan Wang: Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay. 91-106
• 
  Nizar Bouguila, Djemel Ziou: A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling. 107-122
• 
  Junbin Gao, Jun Zhang, David Tien: Relevance units latent variable model and nonlinear dimensionality reduction. 123-135
• 
  Whye Loon Tung, Chai Quek: eFSM: a novel online neural-fuzzy semantic memory model. 136-157
• 
  Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse: OP-ELM: optimally pruned extreme learning machine. 158-162
• 
  Bing-Yu Sun, Xiaoming Zhang, Jiuyong Li, Xue-Min Mao: Feature fusion using locally linear embedding for classification. 163-168
• 
  Rongni Yang, Zexu Zhang, Peng Shi: Exponential stability on stochastic neural networks with discrete interval and distributed delays. 169-175
• 
  Xiangyu Kong, Changhua Hu, Chongzhao Han: On the discrete-time dynamics of a class of self-stabilizing MCA extraction algorithms. 175-181

Volume 21, Number 2, February 2010

• 
  Weiling Cai, Songcan Chen, Daoqiang Zhang: A multiobjective simultaneous learning framework for clustering and classification. 185-200
• 
  Yoshikazu Washizawa: Feature extraction using constrained approximation and suppression. 201-210
• 
  Renata Lúcia Mendonça Ernesto do Rêgo, Aluizio Fausto Ribeiro Araújo, Fernando Buarque de Lima Neto: Growing self-reconstruction maps. 211-223
• 
  Yoshihiro Hayakawa, Koji Nakajima: Design of the inverse function delayed neural network for solving combinatorial optimization problems. 224-237
• 
  Zhe Sun, Zengke Zhang, Huangang Wang, Min Jiang: Cutting plane method for continuously constrained kernel-based regression. 238-247
• 
  Vicente Zarzoso, Pierre Comon: Robust independent component analysis by iterative maximization of the kurtosis contrast with algebraic optimal step size. 248-261
• 
  Derrick Takeshi Mirikitani, Nikolay I. Nikolaev: Recursive Bayesian recurrent neural networks for time-series modeling. 262-274
• 
  Stefano Ferrari, Francesco Bellocchio, Vincenzo Piuri, N. Alberto Borghese: A hierarchical RBF online learning algorithm for real-time 3-D scanner. 275-285
• 
  Simeon A. Bamford, Alan F. Murray, David J. Willshaw: Large developing receptive fields using a distributed and locally reprogrammable address-event receiver. 286-304
• 
  Jiancheng Sun, Chongxun Zheng, Xiaohe Li, Yatong Zhou: Analysis of the distance between two classes for tuning SVM hyperparameters. 305-318
• 
  Fei Wang, Bin Zhao, Changshui Zhang: Linear time maximum margin clustering. 319-332
• 
  Sang Wan Lee, Zeungnam Bien: Representation of a fisher criterion function in a kernel feature space. 333-339
• 
  Zhiqiang Zuo, Cuili Yang, Yijing Wang: A new method for stability analysis of recurrent neural networks with interval time-varying delay. 339-344
• 
  Weisheng Chen, Licheng Jiao: Adaptive tracking for periodically time-varying and nonlinearly parameterized systems using multilayer neural networks. 345-351
• 
  Fabrizio Angiulli, Annabella Astorino: Scaling up support vector machines using nearest neighbor condensation. 351-357

Volume 21, Number 3, March 2010

• 
  Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai, A. Cinar: PSECMAC intelligent insulin schedule for diabetic blood glucose management under nonmeal announcement. 361-380
• 
  Saichon Jaiyen, Chidchanok Lursinsap, Suphakant Phimoltares: A very fast neural learning for classification using only new incoming datum. 381-392
• 
  Wenming Zheng, Zhouchen Lin, Xiaoou Tang: A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors. 393-403
• 
  Balaje T. Thumati, Sarangapani Jagannathan: A model-based fault-detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees. 404-423
• 
  Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita: Using unsupervised analysis to constrain generalization bounds for support vector classifiers. 424-438
• 
  Ju Hong Ge, Jian Xu: Computation of synchronized periodic solution in a BAM network with two delays. 439-450
• 
  Chong Jin Ong, Shiyun Shao, Jianbo Yang: An improved algorithm for the solution of the regularization path of support vector machine. 451-462
• 
  Qing Song: On the weight convergence of Elman networks. 463-480
• 
  Delu Zeng, Zhiheng Zhou, Shengli Xie: Coarse-to-fine boundary location with a SOM-like method. 481-493
• 
  Zhang Yi: Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks. 494-507
• 
  Wu-Hua Chen, Wei Xing Zheng: Robust stability analysis for stochastic neural networks with time-varying delay. 508-514
• 
  Manish Narwaria, Weisi Lin: Objective image quality assessment based on support vector regression. 515-519
• 
  Kadim Tasdemir: Graph based representations of density distribution and distances for self-organizing maps. 520-526

Volume 21, Number 4, April 2010

• 
  Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong: An adaptive multiobjective approach to evolving ART architectures. 529-550
• 
  Wei-Shi Zheng, Jian-Huang Lai, Pong Chi Yuen: Penalized preimage learning in kernel principal component analysis. 551-570
• 
  Wangli He, Jinde Cao: Exponential synchronization of hybrid coupled networks with delayed coupling. 571-583
• 
  Daizhan Cheng, Hongsheng Qi: State-space analysis of Boolean networks. 584-594
• 
  Djamel Bouchaffra: Conformation-based hidden Markov models: application to human face identification. 595-608
• 
  José Antonio Pérez-Carrasco, Begoña Acha, Carmen Serrano, Luis A. Camuñas-Mesa, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco: Fast vision through frameless event-based sensing and convolutional processing: application to texture recognition. 609-620
• 
  Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan: Generalized low-rank approximations of matrices revisited. 621-632
• 
  Cheolhwan Oh, Stanislaw H. Zak: Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks. 633-643
• 
  Kai Zhang, James T. Kwok: Simplifying mixture models through function approximation. 644-658
• 
  Chunhua Shen, Hanxi Li: Boosting through optimization of margin distributions. 659-666
• 
  Burcu Erkmen, Nihan Kahraman, Revna Acar Vural, Tülay Yildirim: Conic section function neural network circuitry for offline signature recognition. 667-672
• 
  Marcos Angel Gonzalez-Olvera, Yu Tang: Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network. 672-679
• 
  Hamse Y. Mussa, Robert C. Glen: Memory-efficient fully coupled filtering approach for observational model building. 680-686
• 
  Cristiano Cervellera: Lattice point sets for deterministic learning and approximate optimization problems. 687-692
• 
  Zhengguang Wu, Hongye Su, Jian Chu, Wuneng Zhou: Improved delay-dependent stability condition of discrete recurrent neural networks with time-varying delays. 692-697

Volume 21, Number 5, May 2010

• 
  Yaman Aksu, David J. Miller, George Kesidis, Qing X. Yang: Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions. 701-717
• 
  Leonid I. Perlovsky: Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI. 718-733
• 
  Zhirong Yang, Erkki Oja: Linear and nonlinear projective nonnegative matrix factorization. 734-749
• 
  Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez: Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. 750-770
• 
  Yuguang Fang, Michael A. Cohen, Thomas G. Kincaid: Dynamic analysis of a general class of winner-take-all competitive neural networks. 771-783
• 
  Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas: Multicategory nets of single-layer perceptrons: complexity and sample-size issues. 784-795
• 
  Mou Chen, Shuzhi Sam Ge, Bernard Voon Ee How: Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities. 796-812
• 
  Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. 813-830
• 
  Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl: Regularization in matrix relevance learning. 831-840
• 
  Simone Fiori: Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds. 841-852
• 
  Luping Zhou, Lei Wang, Chunhua Shen: Feature selection with redundancy-constrained class separability. 853-858
• 
  Danil V. Prokhorov: A convolutional learning system for object classification in 3-D lidar data. 858-863
• 
  Vicente Zarzoso, Pierre Comon, Ronald Phlypo: A contrast function for independent component analysis without permutation ambiguity. 863-868

Volume 21, Number 6, June 2010

• 
  Prashanta Kumar Patra, Muktikanta Sahu, Subasish Mohapatra, Ronak Kumar Samantray: File access prediction using neural networks. 869-882
• 
  Ping Sun, Xin Yao: Sparse approximation through boosting for learning large scale kernel machines. 883-894
• 
  Daqing Guo, Chunguang Li: Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons. 895-905
• 
  Hennie Daniels, Marina Velikova: Monotone and partially monotone neural networks. 906-917
• 
  Xing-Bao Gao, Li-Zhi Liao: A new one-layer neural network for linear and quadratic programming. 918-929
• 
  Bogdan M. Wilamowski, Hao Yu: Improved computation for Levenberg-Marquardt training. 930-937
• 
  Kevin I.-J. Ho, Chi-Sing Leung, John Sum: Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. 938-947
• 
  Mauro Tucci, Marco Raugi: Adaptive FIR neural model for centroid learning in self-organizing maps. 948-960
• 
  Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Ryszard Wojtyna: Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. 961-971
• 
  Oswaldo Ludwig, Urbano Nunes: Novel maximum-margin training algorithms for supervised neural networks. 972-984
• 
  Javan Tan, Chai Quek: A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning. 985-1003
• 
  Sotirios P. Chatzis, Gabriel Tsechpenakis: The infinite hidden Markov random field model. 1004-1014
• 
  Evaldo Araújo De Oliveira, Nestor Caticha: Inference from aging information. 1015-1020
• 
  Santanu Ghorai, Anirban Mukherjee, Pranab K. Dutta: Discriminant analysis for fast multiclass data classification through regularized kernel function approximation. 1020-1029

Volume 21, Number 7, July 2010

• 
  Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin: Discriminative semi-supervised feature selection via manifold regularization. 1033-1047
• 
  Masayuki Karasuyama, Ichiro Takeuchi: Multiple incremental decremental learning of support vector machines. 1048-1059
• 
  Masaki Kobayashi: Exceptional reducibility of complex-valued neural networks. 1060-1072
• 
  Xiaolin Hu, Changyin Sun, Bo Zhang: Design of recurrent neural networks for solving constrained least absolute deviation problems. 1073-1086
• 
  Basabdatta Sen Bhattacharya, Stephen B. Furber: Biologically inspired means for rank-order encoding images: a quantitative analysis. 1087-1099
• 
  Chengde Zheng, Huaguang Zhang, Zhanshan Wang: An augmented LKF approach involving derivative information of both state and delay. 1100-1109
• 
  Walter Allegretto, Duccio Papini, Mauro Forti: Common asymptotic behavior of solutions and almost periodicity for discontinuous, delayed, and impulsive neural networks. 1110-1125
• 
  Wu-Hua Chen, Wei Xing Zheng: A new method for complete stability analysis of cellular neural networks with time delay. 1126-1139
• 
  Qingshan Liu, Chuangyin Dang, Jinde Cao: A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation. 1140-1148
• 
  Chih-Min Lin, Li-Yang Chen, Daniel S. Yeung: Adaptive filter design using recurrent cerebellar model articulation controller. 1149-1157
• 
  Agustín Gajate, Rodolfo E. Haber, Pastora I. Vega, José R. Alique: A transductive neuro-fuzzy controller: application to a drilling process. 1158-1167
• 
  Badong Chen, Yu Zhu, Jinchun Hu: Mean-square convergence analysis of ADALINE training with minimum error entropy criterion. 1168-1179
• 
  Vu N. Phat, H. Trinh: Exponential stabilization of neural networks with various activation functions and mixed time-varying delays. 1180-1184
• 
  Huajin Tang, Haizhou Li, Zhang Yi: A discrete-time neural network for optimization problems with hybrid constraints. 1184-1189
• 
  Yuanqing Li, Shun-ichi Amari: Two conditions for equivalence of 0-norm solution and 1-norm solution in sparse representation. 1189-1196

Volume 21, Number 8, August 2010

• 
  Chunhua Feng, Réjean Plamondon, Christian O'Reilly: On some necessary and sufficient conditions for a recurrent neural network model with time delays to generate oscillations. 1197-1205
• 
  Jianyong Sun, Ata Kabán: A fast algorithm for robust mixtures in the presence of measurement errors. 1206-1220
• 
  Johnny Wei-Hsun Kao, Stevan M. Berber, Vojislav Kecman: Blind multiuser detector for chaos-based CDMA using support vector machine. 1221-1231
• 
  Andrew Chi-Sing Leung, Hongjiang Wang, John Sum: On the selection of weight decay parameter for faulty networks. 1232-1244
• 
  Elias B. Kosmatopoulos: Control of unknown nonlinear systems with efficient transient performance using concurrent exploitation and exploration. 1245-1261
• 
  John Seiffertt, Donald C. Wunsch: Backpropagation and ordered derivatives in the time scales calculus. 1262-1269
• 
  Baohua Li, Jennie Si: Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices. 1270-1280
• 
  Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph: Automatic induction of projection pursuit indices. 1281-1295
• 
  Yi-Hung Liu, Yan-Chen Liu, Yen-Jen Chen: Fast support vector data descriptions for novelty detection. 1296-1313
• 
  Quanxin Zhu, Jinde Cao: Robust exponential stability of Markovian jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays. 1314-1325
• 
  Thanh Minh Nguyen, Q. M. Jonathan Wu, Siddhant Ahuja: An extension of the standard mixture model for image segmentation. 1326-1338
• 
  Beibei Ren, Shuzhi Sam Ge, Keng Peng Tee, Tong Heng Lee: Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function. 1339-1345
• 
  Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal: Marginalized neural network mixtures for large-scale regression. 1345-1351
• 
  Long Cheng, Zeng-Guang Hou, Min Tan, Yingzi Lin, Wenjun Chris Zhang: Neural-network-based adaptive leader-following control for multiagent systems with uncertainties. 1351-1358
• 
  Donglian Qi, Meiqin Liu, Meikang Qiu, Senlin Zhang: Exponential H INFINITY synchronization of general discrete-time chaotic neural networks with or without time delays. 1358-1365
• 
  Tao Li, Aiguo Song, Shumin Fei, Ting Wang: Delay-derivative-dependent stability for delayed neural networks with unbound distributed delay. 1365-1371
• 
  Zhigang Zeng, Tingwen Huang, Wei Xing Zheng: Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function. 1371-1377

Volume 21, Number 9, September 2010

• 
  Shuning Wang, Xiaolin Huang, Yeung Yam: A neural network of smooth hinge functions. 1381-1395
• 
  Ligang Wu, Zhiguang Feng, Wei Xing Zheng: Exponential stability analysis for delayed neural networks with switching parameters: average dwell time approach. 1396-1407
• 
  Sung Hwan Won, Iickho Song, Sun-Young Lee, Cheol Hoon Park: Identification of finite state automata with a class of recurrent neural networks. 1408-1421
• 
  Ming Sun, Lin Zhao, Wei Cao, Yao-qun Xu, Xuefeng Dai, Xiaoxu Wang: Novel hysteretic noisy chaotic neural network for broadcast scheduling problems in packet radio networks. 1422-1433
• 
  José Luis Aznarte, José Manuel Benítez: Equivalences between neural-autoregressive time series models and fuzzy systems. 1434-1444
• 
  Mingming Sun, Jian Yang, Chuancai Liu, Jingyu Yang: Similarity preserving principal curve: an optimal 1-D feature extractor for data representation. 1445-1456
• 
  An-Min Zou, Krishna Dev Kumar, Zeng-Guang Hou: Quaternion-based adaptive output feedback attitude control of spacecraft using Chebyshev neural networks. 1457-1471
• 
  Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, Andrzej Cichocki: Blind extraction of global signal from multi-channel noisy observations. 1472-1481
• 
  Lu Xu, Tommy W. S. Chow: Self-organizing potential field network: a new optimization algorithm. 1482-1495
• 
  Jun Wang: Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function. 1496-1506
• 
  Konstantin Y. Volyanskyy, Wassim M. Haddad: A Q-modification neuroadaptive control architecture for discrete-time systems. 1507-1511
• 
  Hsin Chen, Sylvain Saïghi, Laure Buhry, Sylvie Renaud: Real-time simulation of biologically realistic stochastic neurons in VLSI. 1511-1517
• 
  Muzhou Hou, Xuli Han: Constructive approximation to multivariate function by decay RBF neural network. 1517-1523
• 
  Chunhua Shen, Junae Kim, Lei Wang: Scalable large-margin Mahalanobis distance metric learning. 1524-1530

Volume 21, Number 10, October 2010

• 
  Seung-Mook Baek, Jung-Wook Park: Hessian matrix estimation in hybrid systems based on an embedded FFNN. 1533-1542
• 
  Ezequiel López-Rubio: Probabilistic self-organizing maps for continuous data. 1543-1554
• 
  Xiaodi Li, Jianhua Shen: LMI approach for stationary oscillation of interval neural networks with discrete and distributed time-varying delays under impulsive perturbations. 1555-1563
• 
  Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang: Incorporating the loss function into discriminative clustering of structured outputs. 1564-1575
• 
  Kai Zhang, James T. Kwok: Clustered Nyström method for large scale manifold learning and dimension reduction. 1576-1587
• 
  Ioannis Psorakis, Theodoros Damoulas, Mark A. Girolami: Multiclass relevance vector machines: sparsity and accuracy. 1588-1598
• 
  Sevcan Yilmaz, Yusuf Oysal: Fuzzy wavelet neural network models for prediction and identification of dynamical systems. 1599-1609
• 
  Jialue Fan, Wei Xu, Ying Wu, Yihong Gong: Human tracking using convolutional neural networks. 1610-1623
• 
  Sheng Chen, Haibo He, Edwardo A. Garcia: RAMOBoost: ranked minority oversampling in boosting. 1624-1642
• 
  Zhenkun Huang, Xinghua Wang, Chunhua Feng: Multiperiodicity of periodically oscillated discrete-time neural networks with transient excitatory self-connections and sigmoidal nonlinearities. 1643-1655
• 
  Xinsong Yang, Jinde Cao, Yao Long, Weiguo Rui: Adaptive lag synchronization for competitive neural networks with mixed delays and uncertain hybrid perturbations. 1656-1667
• 
  Jan Faigl: Approximate solution of the multiple watchman routes problem with restricted visibility range. 1668-1679
• 
  Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu: Behavior-constrained support vector machines for fMRI data analysis. 1680-1685
• 
  Fei Cheng, Jiangsheng Yu, Huilin Xiong: Facial expression recognition in JAFFE dataset based on Gaussian process classification. 1685-1690
• 
  Jiali Yu, Zhang Yi, Jiliu Zhou: Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons. 1690-1695

Volume 21, Number 11, November 2010

• 
  Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, J. Montero, Lukasz A. Kurgan, Krzysztof J. Cios: Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. 1697-1709
• 
  Zhenwei Liu, Huaguang Zhang, Qingling Zhang: Novel Stability Analysis for Recurrent Neural Networks With Multiple Delays via Line Integral-Type L-K Functional. 1710-1718
• 
  H. Yoshino, Chen Dong, Yoshikazu Washizawa, Y. Yamashita: Kernel Wiener Filter and Its Application to Pattern Recognition. 1719-1730
• 
  Eduardo Bayro-Corrochano, Nancy Arana-Daniel: Clifford Support Vector Machines for Classification, Regression, and Recurrence. 1731-1746
• 
  Jaroslaw Piersa, Filip Piekniewski, Tomasz Schreiber: Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks. 1747-1758
• 
  N. Boely, R. M. Botez: New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks. 1759-1765
• 
  B. Gas: Self-Organizing MultiLayer Perceptron. 1766-1779
• 
  Daniel Le Ly, Paul Chow: High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines. 1780-1792
• 
  Bogdan M. Wilamowski, Hao Yu: Neural Network Learning Without Backpropagation. 1793-1803
• 
  Min Wang, Shuzhi Sam Ge, Keum-Shik Hong: Approximation-Based Adaptive Tracking Control of Pure-Feedback Nonlinear Systems With Multiple Unknown Time-Varying Delays. 1804-1816
• 
  John J. Wade, L. J. McDaid, Jose A. Santos, Heather M. Sayers: SWAT: A Spiking Neural Network Training Algorithm for Classification Problems. 1817-1830
• 
  Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin: Semisupervised Kernel Matrix Learning by Kernel Propagation. 1831-1841
• 
  Hongyi Li, Huijun Gao, Peng Shi: New Passivity Analysis for Neural Networks With Discrete and Distributed Delays. 1842-1847
• 
  Yang Liu, Yan Liu, Keith C. C. Chan: Tensor Distance Based Multilinear Locality-Preserved Maximum Information Embedding. 1848-1854

Volume 21, Number 12, December 2010

• 
  Charalampos P. Bechlioulis, Zoe Doulgeri, George A. Rovithakis: Neuro-Adaptive Force/Position Control With Prescribed Performance and Guaranteed Contact Maintenance. 1857-1868
• 
  Roland Badeau, Nancy Bertin, Emmanuel Vincent: Stability Analysis of Multiplicative Update Algorithms and Application to Nonnegative Matrix Factorization. 1869-1881
• 
  S.-S. Yang, C.-L. Ho, S. Siu: Computing and Analyzing the Sensitivity of MLP Due to the Errors of the i.i.d. Inputs and Weights Based on CLT. 1882-1891
• 
  Nikolay V. Manyakov, Rufin Vogels, Marc M. Van Hulle: Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. 1892-1902
• 
  D. D. Nguyen, K. Matsumoto, Y. Takishima, Kenji Hashimoto: Condensed Vector Machines: Learning Fast Machine for Large Data. 1903-1914
• 
  Ahmed M. Allam, Hazem M. Abbas: On the Improvement of Neural Cryptography Using Erroneous Transmitted Information With Error Prediction. 1915-1924
• 
  Grigorios Tzortzis, C. L. Likas: Multiple View Clustering Using a Weighted Combination of Exemplar-Based Mixture Models. 1925-1938
• 
  Igor N. Aizenberg: Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. 1939-1949
• 
  Alexander Russell, Garrick Orchard, Yi Dong, Stefan Mihalas, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings: Optimization Methods for Spiking Neurons and Networks. 1950-1962
• 
  Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou: Mixing Linear SVMs for Nonlinear Classification. 1963-1975
• 
  Z. M. Wang, Qing Song, Yeng Chai Soh, Kang Sim: Robust Curve Clustering Based on a Multivariate t -Distribution Model. 1976-1984
• 
  Isaac Triguero, Salvador García, Francisco Herrera: IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. 1984-1990
• 
  S. Huh, D. Lee: Linear Discriminant Analysis for Signatures. 1990-1996

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