Abstract is missing.
- The Ideal Noisy Environment for Fast Neural ComputationSi Wu, Jianfeng Feng, Shun-ichi Amari. 1-6 [doi]
- How Does a Neuron Perform Subtraction? Arithmetic Rules of Synaptic Integration of Excitation and InhibitionXu-Dong Wang, Jiang Hao, Mu-Ming Poo, Xiao-Hui Zhang. 7-14 [doi]
- Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for ReceiverJun Liu, Jian Wu, Zhengguo Lou, Guang Li. 15-20 [doi]
- A Gaussian Dynamic Convolution Models of the FMRI BOLD ResponseHuafu Chen, Ling Zeng, Dezhong Yao, Qing Gao. 21-26 [doi]
- Cooperative Motor Learning Model for Cerebellar Control of Balance and LocomotionMingxiao Ding, Naigong Yu, Xiaogang Ruan. 27-33 [doi]
- A Model of Category Learning with Attention Augmented Simplistic Prototype RepresentationToshihiko Matsuka. 34-40 [doi]
- On the Learning Algorithms of Descriptive Models of High-Order Human CognitionToshihiko Matsuka, Arieta Chouchourelou. 41-49 [doi]
- A Neural Model on Cognitive ProcessRubin Wang, Jing Yu, Zhikang Zhang. 50-59 [doi]
- Approximation Bound of Mixture Networks in ::::L::::::::::omega:::::::::::::p::::::: SpacesZong-Ben Xu, Jianjun Wang, Deyu Meng. 60-65 [doi]
- Integral Transform and Its Application to Neural Network ApproximationFeng-jun Li, ZongBen Xu. 66-71 [doi]
- The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer UnitsChunmei Ding, Feilong Cao, ZongBen Xu. 72-79 [doi]
- Wavelets Based Neural Network for Function ApproximationYong Fang, Tommy W. S. Chow. 80-85 [doi]
- Passivity Analysis of Dynamic Neural Networks with Different Time-ScalesAlejandro Cruz Sandoval, Wen Yu. 86-92 [doi]
- Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion TermsZhiguo Yang, Daoyi Xu, Yumei Huang. 93-99 [doi]
- Convergence Analysis of Continuous-Time Neural NetworksMin-Jae Kang, Ho-Chan Kim, Farrukh Aslam Khan, Wang-Cheol Song, Jacek M. Zurada. 100-108 [doi]
- Global Convergence of Continuous-Time Recurrent Neural Networks with DelaysWeirui Zhao, Huanshui Zhang. 109-114 [doi]
- Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural NetworksXiaoxin Liao, Zhigang Zeng. 115-121 [doi]
- Global Exponential Stability of Recurrent Neural Networks with Time-Varying DelayYi Shen, Meiqin Liu, Xiaodong Xu. 122-128 [doi]
- New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying DelaysGang Wang, Huaguang Zhang, Chonghui Song. 129-134 [doi]
- Dynamics of General Neural Networks with Distributed DelaysChangyin Sun, Linfeng Li. 135-140 [doi]
- On Equilibrium and Stability of a Class of Neural Networks with Mixed DelaysShuyong Li, Yumei Huang, Daoyi Xu. 141-146 [doi]
- Stability Analysis of Neutral Neural Networks with Time DelayHanlin He, Xiaoxin Liao. 147-152 [doi]
- Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion TermsJianlong Qiu, Jinde Cao. 153-158 [doi]
- Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying DelaysWudai Liao, Zhongsheng Wang, Xiaoxin Liao. 159-164 [doi]
- Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener ProcessXuyang Lou, Baotong Cui. 165-171 [doi]
- Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear PerturbationsLi Xie, Tianming Liu, Guodong Lu, Jilin Liu, Stephen T. C. Wong. 172-178 [doi]
- Global Robust Stability of General Recurrent Neural Networks with Time-Varying DelaysJun Xu, Daoying Pi, Yong-Yan Cao. 179-184 [doi]
- Robust Periodicity in Recurrent Neural Network with Time Delays and ImpulsesYongqing Yang. 185-191 [doi]
- Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed DelaysTianping Chen, Wenlian Lu. 192-197 [doi]
- LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple DelaysCe Ji, Huaguang Zhang, Chonghui Song. 198-203 [doi]
- Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen- Grossberg Neural NetworksTianping Chen, Lili Wang, Changlei Ren. 204-210 [doi]
- A New Sufficient Condition on the Complete Stability of a Class Cellular Neural NetworksLi-qun Zhou, Guang-da Hu. 211-216 [doi]
- Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time DelaysWeifan Zheng, Jiye Zhang, Weihua Zhang. 217-223 [doi]
- Exponential Stability of Delayed Stochastic Cellular Neural NetworksWudai Liao, Yulin Xu, Xiaoxin Liao. 224-229 [doi]
- Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and ImpulsesChaojin Fu, Boshan Chen. 230-235 [doi]
- Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable DelaysJiye Zhang, Dianbo Ren, Weihua Zhang. 236-242 [doi]
- Stability of Fuzzy Cellular Neural Networks with ImpulsesTingwen Huang, Marco Roque-Sol. 243-248 [doi]
- Absolute Stability of Hopfield Neural NetworkXiaoxin Liao, Fei Xu, Pei Yu. 249-254 [doi]
- Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov SwitchingBingji Xu, Qun Wang. 255-260 [doi]
- Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable DelaysWei Zhu, Daoyi Xu. 261-266 [doi]
- Convergence Analysis of Discrete Delayed Hopfield Neural NetworksShengrui Zhang, Runnian Ma. 267-272 [doi]
- An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable DelayMinghui Jiang 0002, Yi Shen, Xiaoxin Liao. 273-278 [doi]
- Existence of Periodic Solution of BAM Neural Network with Delay and ImpulseHui Wang, Xiaofeng Liao, Chuandong Li, Degang Yang. 279-284 [doi]
- On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedbackMin Xiao, Jinde Cao. 285-290 [doi]
- Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two NeuronsHong Qu, Zhang Yi. 291-296 [doi]
- Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time ScalesWentong Liao, Linshan Wang. 297-302 [doi]
- Global Synchronization of Impulsive Coupled Delayed Neural NetworksJin Zhou, Tianping Chen, Xiang Lan, Meichun Liu. 303-308 [doi]
- Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time DelayPing Li. 309-315 [doi]
- Chaos and Bifurcation in a New Class of Simple Hopfield Neural NetworkYan Huang, Xiao-Song Yang. 316-321 [doi]
- Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural NetworkHongwei Wang, Hong Gu. 322-327 [doi]
- Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four NeuronsHaigeng Luo, Xiaodong Xu, Xiaoxin Liao. 328-333 [doi]
- Autapse Modulated BurstingGuang-Hong Wang, Ping Jiang. 334-343 [doi]
- A Neural Network Model for Non-smooth Optimization over a Compact Convex SubsetGuocheng Li, Shiji Song, Cheng Wu, Zifang Du. 344-349 [doi]
- Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex SubsetShiji Song, Guocheng Li, Xiaohong Guan. 350-358 [doi]
- A Recurrent Neural Network for Linear Fractional Programming with Bound ConstraintsFuye Feng, Yong Xia, Quanju Zhang. 359-368 [doi]
- A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality ConstraintsQingshan Liu, Jun Wang, Jinde Cao. 369-378 [doi]
- Wavelet Chaotic Neural Networks and Their Application to Optimization ProblemsYao-qun Xu, Ming Sun, Guangren Duan. 379-384 [doi]
- A New Optimization Algorithm Based on Ant Colony System with Density Control StrategyLing Qin, Yixin Chen, Ling Chen, Yuan Yao. 385-390 [doi]
- A New Neural Network Approach to the Traveling Salesman ProblemPaulo Henrique Siqueira, Sérgio Scheer, Maria Teresinha Arns Steiner. 391-398 [doi]
- Dynamical System for Computing Largest Generalized EigenvalueLijun Liu, Wei Wu. 399-404 [doi]
- A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric MatricesYiguang Liu, Zhisheng You. 405-413 [doi]
- A Novel Stochastic Learning Rule for Neural NetworksFrank Emmert-Streib. 414-423 [doi]
- Learning with Single Quadratic Integrate-and-Fire NeuronDeepak Mishra, Abhishek Yadav, Prem Kumar Kalra. 424-429 [doi]
- Manifold Learning of Vector FieldsHongYu Li, I-Fan Shen. 430-435 [doi]
- Similarity Measure for Vector Field LearningHongYu Li, I-Fan Shen. 436-441 [doi]
- The Mahalanobis Distance Based Rival Penalized Competitive Learning AlgorithmJinwen Ma, Bin Cao. 442-447 [doi]
- Dynamic Competitive LearningSeongwon Cho, Jaemin Kim, Sun-Tae Chung. 448-455 [doi]
- Hyperbolic Quotient Feature Map for Competitive Learning Neural NetworksJinwuk Seok, Seongwon Cho, Jaemin Kim. 456-463 [doi]
- A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model SelectionZhiwu Lu, Jinwen Ma. 464-469 [doi]
- Self-organizing Neural Architecture for Reinforcement LearningAh-Hwee Tan. 470-475 [doi]
- On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility TracesSeungGwan Lee. 476-481 [doi]
- Combining Label Information and Neighborhood Graph for Semi-supervised LearningLianwei Zhao, Siwei Luo, Mei Tian, Chao Shao, Hongliang Ma. 482-488 [doi]
- A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic SystemLiang Liu, Naigong Yu, Mingxiao Ding, Xiaogang Ruan. 489-495 [doi]
- An Optimal Iterative Learning Scheme for Dynamic Neural Network ModellingLei Guo, Hong Wang 0001. 496-501 [doi]
- Delayed Learning on Internal Memory Network and Organizing Internal StatesToshinori Deguchi, Naohiro Ishii. 502-508 [doi]
- A Novel Learning Algorithm for Feedforward Neural NetworksHuawei Chen, Fan Jin. 509-514 [doi]
- On H::infinity:: Filtering in Feedforward Neural Networks Training and PruningHe-Sheng Tang, Song-Tao Xue, Rong Chen. 515-523 [doi]
- A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural NetworksJinhua Xu, Daniel W. C. Ho. 524-529 [doi]
- A Fast Learning Algorithm Based on Layered Hessian Approximations and the PseudoinverseEu Jin Teoh, Cheng Xiang, Kay Chen Tan. 530-536 [doi]
- A Modular Reduction Method for ::::k::::-NN Algorithm with Self-recombination LearningHai Zhao, Bao-Liang Lu. 537-544 [doi]
- Selective Neural Network Ensemble Based on ClusteringHaixia Chen, Senmiao Yuan, Kai Jiang. 545-550 [doi]
- An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural NetworksSongsong Li, Toshimi Okada, Xiaoming Chen, Zheng Tang. 551-557 [doi]
- Training Cellular Neural Networks with Stable Learning AlgorithmMarco A. Moreno-Armendariz, Giovanni Egidio Pazienza, Wen Yu. 558-563 [doi]
- A New Stochastic PSO Technique for Neural Network TrainingYangmin Li, Xin Chen. 564-569 [doi]
- A Multi-population Cooperative Particle Swarm Optimizer for Neural Network TrainingBen Niu, Yunlong Zhu, Xiaoxian He. 570-576 [doi]
- Training RBF Neural Network with Hybrid Particle Swarm OptimizationHaichang Gao, Boqin Feng, Yun Hou, Li Zhu. 577-583 [doi]
- Robust Learning by Self-organization of Nonlinear Lines of AttractionsMing-Jung Seow, Vijayan K. Asari. 584-589 [doi]
- Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear SystemKai Zhang, Gen-Zhi Guan, Fang-Fang Chen, Lin Zhang, Zhi-Ye Du. 590-598 [doi]
- Q-Learning with FCMAC in Multi-agent CooperationKao-Shing Hwang, Yu-Jen Chen, Tzung-Feng Lin. 599-606 [doi]
- Q Learning Based on Self-organizing Fuzzy Radial Basis Function NetworkXuesong Wang, Yuhu Cheng, Wei Sun. 607-615 [doi]
- A Fuzzy Neural Networks with Structure LearningHaisheng Lin, Xiao Zhi Gao, Xianlin Huang, Zhuoyue Song. 616-622 [doi]
- Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy IdentificationMariela Cerrada, Jose Aguilar, André Titli. 623-630 [doi]
- A New Learning Algorithm for Function Approximation Incorporating ::::A Priori ::::Information into Extreme Learning MachineFei Han, Tat-Ming Lok, Michael R. Lyu. 631-636 [doi]
- Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical PrecisionJun-Seok Lim, Koeng-Mo Sung, Joonil Song. 637-643 [doi]
- Evolutionary Extreme Learning Machine - Based on Particle Swarm OptimizationYou Xu, Yang Shu. 644-652 [doi]
- A Gradient-Based ELM Algorithm in Regressing Multi-variable FunctionsYou Xu. 653-658 [doi]
- A New Genetic Approach to Structure Learning of Bayesian NetworksJaehun Lee, Wooyong Chung, Euntai Kim. 659-668 [doi]
- Research on Multi-Degree-of-Freedom Neurons with Weighted GraphsShoujue Wang, Singsing Liu, Wenming Cao. 669-675 [doi]
- Output PDF Shaping of Singular Weights System: Monotonical Performance DesignHong Yue, Aurelie J. A. Leprand, Hong Wang 0001. 676-682 [doi]
- Stochastic Time-Varying Competitive Neural Network SystemsYi Shen, Meiqin Liu, Xiaodong Xu. 683-688 [doi]
- Heterogeneous Centroid Neural NetworksDong-Chul Park, Duc-Hoai Nguyen, Song-Jae Lee, Yunsik Lee. 689-694 [doi]
- Building Multi-layer Small World Neural NetworkShuzhong Yang, Siwei Luo, Jianyu Li. 695-700 [doi]
- Growing Hierarchical Principal Components Analysis Self-Organizing MapStones Lei Zhang, Zhang Yi, Jiancheng Lv. 701-706 [doi]
- Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance TheoryAndrey Gavrilov, Young-Koo Lee, Sungyoung Lee. 707-713 [doi]
- Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP AlgorithmsYan-Peng Liu, Ming-Guang Wu, Ji-xin Qian. 714-722 [doi]
- A Genetic Algorithm with Modified Tournament Selection and Efficient Deterministic Mutation for Evolving Neural NetworkDong-Sun Kim, Hyun-Sik Kim, Duck Jin Chung. 723-731 [doi]
- A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection CriterionYunhui Liu, Siwei Luo, Ziang Lv, Hua Huang. 732-738 [doi]
- A Parallel Coevolutionary Immune Neural Network and Its Application to Signal SimulationZhu-Hong Zhang, Xin Tu, Chang-Gen Peng. 739-746 [doi]
- A Novel Elliptical Basis Function Neural Networks Optimized by Particle Swarm OptimizationJi-Xiang Du, Chuan-Min Zhai, Zeng-Fu Wang, Guo-Jun Zhang. 747-751 [doi]
- Fuzzy Neural Network Optimization by a Particle Swarm Optimization AlgorithmMing Ma, Libiao Zhang, Jie Ma, Chunguang Zhou. 752-761 [doi]
- Fuzzy Rule Extraction Using Robust Particle Swarm OptimizationSumitra Mukhopadhyay, Ajit K. Mandal. 762-767 [doi]
- A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic AlgorithmsSeok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn. 768-773 [doi]
- Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process SystemSung-Kwun Oh, In-Tae Lee, Jeoung-Nae Choi. 774-779 [doi]
- A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and AnalysisHo-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn. 780-785 [doi]
- Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy InferenceSung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz. 786-791 [doi]
- A New Fuzzy ART Neural Network Based on Dual Competition and Resonance TechniqueLei Zhang, Guoyou Wang, Wentao Wang. 792-797 [doi]
- Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural NetworksChang-Wook Han, Jung-Il Park. 798-803 [doi]
- A New Fuzzy Identification Method Based on Adaptive Critic DesignsHuaguang Zhang, Yanhong Luo, Derong Liu. 804-809 [doi]
- Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-NormsWei-Hong Xu, Guo-Ping Chen, Zhong-Ke Xie. 810-817 [doi]
- Alpha-Beta Associative Memories for Gray Level PatternsCornelio Yáñez-Márquez, Luis Pastor Sanchez Fernandez, Itzamá López-Yáñez. 818-823 [doi]
- Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant TemplatesZhigang Zeng, Jun Wang. 824-829 [doi]
- Autonomous and Deterministic Probabilistic Neural Network Using Global ::::k::::-MeansRoy Kwang Yang Chang, Chu Kiong Loo, Machavaram Venkata Chalapathy Rao. 830-836 [doi]
- Selecting Variables for Neural Network CommitteesMarija Bacauskiene, Vladas Cibulskis, Antanas Verikas. 837-842 [doi]
- An Adaptive Network Topology for ClassificationQingyu Xiong, Jian Huang, Xiaodong Xian, Qian Xiao. 843-848 [doi]
- A Quantitative Comparison of Different MLP Activation Functions in ClassificationEmad A. M. Andrews Shenouda. 849-857 [doi]
- Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value DecompositionEu Jin Teoh, Cheng Xiang, Kay Chen Tan. 858-865 [doi]
- Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune NetworkJiang Zhong, Chunxiao Ye, Yong Feng, Ying Zhou, Zhongfu Wu. 866-872 [doi]
- Hierarchical Radial Basis Function Neural Networks for Classification ProblemsYuehui Chen, Lizhi Peng, Ajith Abraham. 873-879 [doi]
- Biased Wavelet Neural Network and Its Application to Streamflow ForecastFang Liu, Jian-zhong Zhou, Fang-Peng Qiu, Jun-Jie Yang. 880-888 [doi]
- A Goal Programming Based Approach for Hidden Targets in Layer-by-Layer Algorithm of Multilayer Perceptron ClassifiersYanlai Li, Kuanquan Wang, Tao Li. 889-894 [doi]
- SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM PrincipleZhou Yang, Wenjie Zhu, Liang Ji. 895-902 [doi]
- Flexible Neural Tree for Pattern RecognitionHaijun Li, Zheng-Xuan Wang, Limin Wang, Senmiao Yuan. 903-908 [doi]
- A Novel Model of Artificial Immune Network and Simulations on Its DynamicsLei Wang, Yinling Nie, Weike Nie, Licheng Jiao. 909-914 [doi]
- A Kernel Optimization Method Based on the Localized Kernel Fisher CriterionBo Chen, Hongwei Liu, Zheng Bao. 915-921 [doi]
- Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity ComparisonBo Jin, Yan-Qing Zhang. 922-927 [doi]
- Support Vector Machines with Beta-Mixing Input SequencesLuoqing Li, Chenggao Wan. 928-935 [doi]
- Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function SetFangfang Wu, Yinliang Zhao. 936-941 [doi]
- A Smoothing Multiple Support Vector Machine ModelHuihong Jin, Zhiqing Meng, Xuanxi Ning. 942-948 [doi]
- Fuzzy Support Vector Machines Based on Spherical RegionsHongbing Liu, Shengwu Xiong, Xiaoxiao Niu. 949-954 [doi]
- Building Support Vector Machine Alternative Using Algorithms of Computational GeometryMarek Bundzel, Tomás Kasanický, Baltazár Frankovic. 955-961 [doi]
- Cooperative Clustering for Training SVMsShengfeng Tian, Shaomin Mu, Chuanhuan Yin. 962-967 [doi]
- SVMV - A Novel Algorithm for the Visualization of SVM Classification ResultsXiaohong Wang, Sitao Wu, Xiaoru Wang, Qunzhan Li. 968-973 [doi]
- Support Vector Machines Ensemble Based on Fuzzy Integral for ClassificationGenting Yan, Guangfu Ma, Liangkuan Zhu. 974-980 [doi]
- An Adaptive Support Vector Machine Learning Algorithm for Large Classification ProblemShu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang. 981-990 [doi]
- SVDD-Based Method for Fast Training of Multi-class Support Vector ClassifierWoo-Sung Kang, Ki Hong Im, Jin-Young Choi. 991-996 [doi]
- Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classificationBo Liu, Xiaowei Yang, Zhifeng Hao. 997-1003 [doi]
- A Fast and Sparse Implementation of Multiclass Kernel Perceptron AlgorithmJianhua Xu. 1004-1009 [doi]
- Mutual Conversion of Regression and Classification Based on Least Squares Support Vector MachinesJingqing Jiang, Chuyi Song, Chunguo Wu, Yangchun Liang, Xiaowei Yang, Zhifeng Hao. 1010-1015 [doi]
- Sparse Least Squares Support Vector Machine for Function EstimationLiangzhi Gan, Hai-kuan Liu, Youxian Sun. 1016-1021 [doi]
- A Multiresolution Wavelet Kernel for Support Vector RegressionFeng-Qing Han, Da-Cheng Wang, Chuan-Dong Li, Xiao-Feng Liao. 1022-1029 [doi]
- Multi-scale Support Vector Machine for Regression EstimationZhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei. 1030-1037 [doi]
- Gradient Based Fuzzy C-Means Algorithm with a Mercer KernelDong-Chul Park, Chung-Nguyen Tran, Sancho Park. 1038-1043 [doi]
- An Efficient Similarity-Based Validity Index for Kernel Clustering AlgorithmYun-Wei Pu, Ming Zhu, Weidong Jin, Laizhao Hu. 1044-1049 [doi]
- Fuzzy Support Vector ClusteringEn-Hui Zheng, Min Yang, Ping Li, Zhi-Huan Song. 1050-1056 [doi]
- An SVM Classification Algorithm with Error Correction Ability Applied to Face RecognitionChengbo Wang, Chengan Guo. 1057-1062 [doi]
- A Boosting SVM Chain Learning for Visual Information RetrievalZejian Yuan, Lei Yang, Yanyun Qu, Yuehu Liu, Xinchun Jia. 1063-1069 [doi]
- Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace ProjectionBo Wu, Liangpei Zhang, Pingxiang Li, Jinmu Zhang. 1070-1075 [doi]
- A New Proximal Support Vector Machine for Semi-supervised ClassificationLi Sun, Ling Jing, Xiaodong Xia. 1076-1082 [doi]
- Sparse Gaussian Processes Using Backward EliminationLiefeng Bo, Ling Wang, Licheng Jiao. 1083-1088 [doi]
- Comparative Study of Extreme Learning Machine and Support Vector MachineXunkai Wei, Yinghong Li, Yue Feng. 1089-1095 [doi]
- Multi-level Independent Component AnalysisWoong Myung Kim, Chan-Ho Park, Hyon-Soo Lee. 1096-1102 [doi]
- An ICA Learning Algorithm Utilizing Geodesic ApproachTao Yu, Huai-Zong Shao, Qi-Cong Peng. 1103-1108 [doi]
- An Extended Online Fast-ICA AlgorithmGang Wang, NiNi Rao, Zhi-Lin Zhang, Quanyi Mo, Pu Wang. 1109-1114 [doi]
- Gradient Algorithm for Nonnegative Independent Component AnalysisShangming Yang. 1115-1120 [doi]
- Unified Parametric and Non-parametric ICA Algorithm for Arbitrary SourcesFasong Wang, Hongwei Li, Rui Li, Shaoquan Yu. 1121-1126 [doi]
- A Novel Kurtosis-Dependent Parameterized Independent Component Analysis AlgorithmXiao-fei Shi, Ji-dong Suo, Chang Liu, Li Li. 1127-1132 [doi]
- Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component AnalysisGang Wang, Xin Xu, Dewen Hu. 1133-1139 [doi]
- Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA AlgorithmMao Ye, Xue Li, Chengfu Yang, Zengan Gao. 1140-1146 [doi]
- An Novel Algorithm for Blind Source Separation with Unknown Sources NumberJi-Min Ye, Shun-Tian Lou, Hai-Hong Jin, Xian-Da Zhang. 1147-1152 [doi]
- Blind Source Separation Based on Generalized VarianceGaoming Huang, Luxi Yang, Zhenya He. 1153-1158 [doi]
- Blind Source Separation with Pattern Expression NMFJunying Zhang, Hongyi Zhang, Le Wei, Yue Joseph Wang. 1159-1164 [doi]
- Nonlinear Blind Source Separation Using Hybrid Neural NetworksChun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok. 1165-1170 [doi]
- Identification of Mixing Matrix in Blind Source SeparationXiaolu Li, Zhaoshui He. 1171-1176 [doi]
- Identification of Independent Components Based on Borel Measure for Under-Determined MixturesWenqiang Guo, Tianshuang Qiu, Yuzhang Zhao, Daifeng Zha. 1177-1182 [doi]
- Estimation of Delays and Attenuations for Underdetermined BSS in Frequency DomainRonghua Li, Ming Xiao. 1183-1188 [doi]
- Application of Blind Source Separation to Five-Element Cross Array Passive LocationGaoming Huang, Yang Gao, Luxi Yang, Zhenya He. 1189-1194 [doi]
- Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration MethodHua Zhang, Dazhang Feng. 1195-1201 [doi]
- Multichannel Blind Deconvolution Using a Novel Filter Decomposition MethodBin Xia, Liqing Zhang. 1202-1207 [doi]
- Two-Stage Blind Deconvolution for V-BLAST OFDM SystemFeng Jiang, Liqing Zhang, Bin Xia. 1208-1213 [doi]
- A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA ModelsXuelei Hu, Lei Xu. 1214-1221 [doi]
- Adaptive Support Vector Clustering for Multi-relational Data MiningPing Ling, Chunguang Zhou. 1222-1230 [doi]
- Robust Data Clustering in Mercer Kernel-Induced Feature SpaceXuLei Yang, Qing Song, Meng Joo Er. 1231-1237 [doi]
- Pseudo-density Estimation for Clustering with Gaussian ProcessesHyun-Chul Kim, Jaewook Lee. 1238-1243 [doi]
- Clustering Analysis of Competitive Learning Network for Molecular DataLin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith. 1244-1249 [doi]
- Self-Organizing Map Clustering Analysis for Molecular DataLin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith. 1250-1255 [doi]
- A Conscientious Rival Penalized Competitive Learning Text Clustering AlgorithmMao-ting Gao, Zheng-ou Wang. 1256-1260 [doi]
- Self-Organizing-Map-Based Metamodeling for Massive Text Data ExplorationKin Keung Lai, Lean Yu, Ligang Zhou, Shouyang Wang. 1261-1266 [doi]
- Ensemble Learning for Keyphrases Extraction from Scientific DocumentJiabing Wang, Hong Peng, Jing-Song Hu, Jun Zhang. 1267-1272 [doi]
- Grid-Based Fuzzy Support Vector Data DescriptionYugang Fan, Ping Li, Zhi-Huan Song. 1273-1279 [doi]
- Development of the Hopfield Neural Scheme for Data Association in Multi-target TrackingYang Weon Lee. 1280-1285 [doi]
- Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Neural NetworkDong Sun, Yong Deng. 1286-1292 [doi]
- Scientific Data Lossless Compression Using Fast Neural NetworkJunlin Zhou, Yan Fu. 1293-1298 [doi]
- HyperSurface Classifiers Ensemble for High Dimensional Data SetsXiu-Rong Zhao, Qing He, Zhongzhi Shi. 1299-1304 [doi]
- Designing a Decompositional Rule Extraction Algorithm for Neural NetworksJen-Cheng Chen, Jia-Sheng Heh, Maiga Chang. 1305-1311 [doi]
- Estimating Fractal Intrinsic Dimension from the NeighborhoodQutang Cai, Changshui Zhang. 1312-1318 [doi]
- Dimensionality Reduction for Evolving RBF Networks with Particle SwarmsJunying Chen, Zheng Qin. 1319-1325 [doi]
- Improved Locally Linear Embedding Through New Distance ComputingHeyong Wang, Jie Zheng, Zheng-an Yao, Lei Li. 1326-1333 [doi]
- An Incremental Linear Discriminant Analysis Using Fixed Point MethodDongyue Chen, LiMing Zhang. 1334-1339 [doi]
- A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) AlgorithmJun-Seok Lim, Joonil Song, Yonggook Pyeon. 1340-1345 [doi]
- Classification with the Hybrid of Manifold Learning and Gabor WaveletJunping Zhang, Chao Shen, Jufu Feng. 1346-1351 [doi]
- A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature SelectionXizhao Wang, Hui Zhang. 1352-1358 [doi]
- Using Ensemble Feature Selection Approach in Selecting Subset with Relevant FeaturesMohammed Attik. 1359-1366 [doi]
- A New Method for Feature SelectionYan Wu, Yang Yang. 1367-1372 [doi]
- Improved Feature Selection Algorithm Based on SVM and CorrelationZongxia Xie, Qinghua Hu, Daren Yu. 1373-1380 [doi]
- Feature Selection in Text Classification Via SVM and LSIZiqiang Wang, Dexian Zhang. 1381-1386 [doi]
- Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector MachinesQijun Zhao, Hongtao Lu, David Zhang. 1387-1393 [doi]
- Feature Extraction for Time Series Classification Using Discriminating Wavelet CoefficientsHui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang. 1394-1399 [doi]
- Feature Extraction of Underground Nuclear Explosions Based on NMF and KNMFGang Liu, Xi-Hai Li, Dai-Zhi Liu, Wei-Gang Zhai. 1400-1405 [doi]
- Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar TargetsFeng Zhu, Yafeng Hu, Xianda Zhang, Deguang Xie. 1406-1411 [doi]
- Application of Self-organizing Feature Neural Network for Target Feature ExtractionDong-hong Liu, Zhi-jie Chen, Wen-long Hu, Yong-shun Zhang. 1412-1420 [doi]
- Divergence-Based Supervised Information Feature Compression AlgorithmShi-Fei Ding, Zhong-Zhi Shi. 1421-1426 [doi]