Table of Contents

• Approximation Bounds by Neural Networks in L:::p:::::omega::Jianjun Wang, Zong-Ben Xu, Weijun Xu. 1-6 [doi]
• Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural NetworksBao-Gang Hu, Hong-Jie Xing, Yujiu Yang. 7-13 [doi]
• Mutual Information and Topology 1: Asymmetric Neural NetworkDavid R. C. Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz. 14-19 [doi]
• Mutual Information and Topology 2: Symmetric NetworkKostadin Koroutchev, David R. C. Dominguez, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz. 20-25 [doi]
• Simplified PCNN and Its Periodic SolutionsXiaodong Gu, LiMing Zhang, Daoheng Yu. 26-31 [doi]
• On Robust Periodicity of Delayed Dynamical Systems with Time-Varying ParametersChangyin Sun, Xunming Li, Chun-Bo Feng. 32-37 [doi]
• Delay-Dependent Criteria for Global Stability of Delayed Neural Network SystemWenlian Lu, Tianping Chen. 38-43 [doi]
• Stability Analysis of Uncertain Neural Networks with DelayZhongsheng Wang, Hanlin He, Xiaoxin Liao. 44-48 [doi]
• A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time DelaysHuaguang Zhang, Gang Wang. 49-54 [doi]
• Criteria for Stability in Neural Network Models with Iterative MapsCarlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano. 55-60 [doi]
• Exponential Stability Analysis for Neural Network with Parameter FluctuationsHaoyang Tang, Chuandong Li, Xiaofeng Liao. 61-66 [doi]
• Local Stability and Bifurcation in a Model of Delayed Neural NetworkYiping Lin, Zengrong Liu. 67-71 [doi]
• On the Asymptotic Stability of Non-autonomous Delayed Neural NetworksQiang Zhang, Haijun Wang, Dongsheng Zhou, Xiaopeng Wei. 72-77 [doi]
• Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying DelaysKun Yuan, Jinde Cao. 78-83 [doi]
• Stability of Stochastic Cohen-Grossberg Neural NetworksLin Wang. 84-89 [doi]
• A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural NetworksAnhua Wan, Weihua Mao, Chun Zhao. 90-95 [doi]
• Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple DelaysCe Ji, Huaguang Zhang, Huanxin Guan. 96-101 [doi]
• On Robust Stability of BAM Neural Networks with Constant DelaysChuandong Li, Xiaofeng Liao, Yong Chen. 102-107 [doi]
• Absolutely Exponential Stability of BAM Neural Networks with Distributed DelaysWenjun Xiong, Qiuhao Jiang. 108-113 [doi]
• Stability Analysis of Discrete-Time Cellular Neural NetworksZhigang Zeng, De-Shuang Huang, Zengfu Wang. 114-119 [doi]
• Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying DelayYong Chen, Xiaofeng Liao. 120-125 [doi]
• Stability of Discrete Hopfield Networks with Delay in Serial ModeRunnian Ma, Youmin Xi, Hangshan Gao. 126-131 [doi]
• Further Results for an Estimation of Upperbound of Delays for Delayed Neural NetworksXueming Li, Xiaofeng Liao, Tao Xiang. 132-137 [doi]
• Synchronization in Two Uncoupled Chaotic NeuronsYing Wu, Jianxue Xu, Daihai He, Wuyin Jin, Mi He. 138-143 [doi]
• Robust Synchronization of Coupled Delayed Recurrent Neural NetworksJin Zhou, Tianping Chen, Xiang Lan. 144-149 [doi]
• Self-Optimizing Neural NetworksAdrian Horzyk, Ryszard Tadeusiewicz. 150-155 [doi]
• Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNsHo-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim. 156-161 [doi]
• A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence TechnologiesHo-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yongkab Kim. 162-167 [doi]
• On Soft Learning Vector Quantization Based on ReformulationJian Yu, Pengwei Hao. 168-173 [doi]
• A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic AlgorithmsSung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim. 174-179 [doi]
• Fuzzy-Kernel Learning Vector QuantizationDaoqiang Zhang, Songcan Chen, Zhi-Hua Zhou. 180-185 [doi]
• Genetic Generation of High-Degree-of-Freedom Feed-Forward Neural NetworksYen-Wei Chen, Sulistiyo, Zensho Nakao. 186-192 [doi]
• Self-Organizing Feature Map Based Data MiningShangming Yang, Yi Zhang. 193-198 [doi]
• Diffusion and Growing Self-Organizing Map: A Nitric Oxide Based Neural ModelShuang Chen, Zongtan Zhou, Dewen Hu. 199-204 [doi]
• A New Adaptive Self-Organizing MapShifeng Weng, Fai Wong, Changshui Zhang. 205-210 [doi]
• Evolving Flexible Neural Networks Using Ant Programming and PSO AlgorithmYuehui Chen, Bo Yang, Jiwen Dong. 211-216 [doi]
• Surrogating Neurons in an Associative Chaotic Neural NetworkMasaharu Adachi. 217-222 [doi]
• Ensembles of RBFs Trained by Gradient DescentCarlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra. 223-228 [doi]
• Gradient Descent Training of Radial Basis FunctionsMercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra. 229-234 [doi]
• Recent Developments on Convergence of Online Gradient Methods for Neural Network TrainingWei Wu, Zhengxue Li, Guori Feng, Naimin Zhang, Dong Nan, Zhiqiong Shao, Jie Yang, Liqing Zhang, Yuesheng Xu. 235-238 [doi]
• A Regularized Line Search Tunneling for Efficient Neural Network LearningDae-Won Lee, Hyung-Jun Choi, Jaewook Lee. 239-243 [doi]
• Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its AlgorithmWeijiang Long, Wenxiu Zhang. 244-251 [doi]
• A Learning Algorithm with Gaussian Regularizer for Kernel NeuronJianhua Xu, Xuegong Zhang. 252-257 [doi]
• An Effective Learning Algorithm of Synergetic Neural NetworkXiuli Ma, Licheng Jiao. 258-263 [doi]
• Sparse Bayesian Learning Based on an Efficient Subset SelectionLiefeng Bo, Ling Wang, Licheng Jiao. 264-269 [doi]
• A Novel Fuzzy Neural Network with Fast Training and Accurate GeneralizationLipo Wang, Bing Liu, Chunru Wan. 270-275 [doi]
• Tuning Neuro-Fuzzy Function Approximator by Tabu SearchGuangyuan Liu, Yonghui Fang, Xufei Zheng, Yuhui Qiu. 276-281 [doi]
• Finite Convergence of MRI Neural Network for Linearly Separable Training PatternsLijun Liu, Wei Wu. 282-285 [doi]
• A Rapid Two-Step Learning Algorithm for Spline Activation Function Neural Networks with the Application on Biped Gait RecognitionLingyun Hu, Zengqi Sun. 286-292 [doi]
• An Online Feature Learning Algorithm Using HCI-Based Reinforcement LearningFang Liu, Jianbo Su. 293-298 [doi]
• Optimizing the Weights of Neural Networks Based on Antibody Clonal Simulated Annealing AlgorithmXiaoyi Jin, Haifeng Du, Wuhong He, Licheng Jiao. 299-304 [doi]
• Backpropagation Analysis of the Limited Precision on High-Order Function Neural NetworksMinghu Jiang, Georges G. E. Gielen. 305-310 [doi]
• LMS Adaptive Notch Filter Design Based on Immune AlgorithmXiaoping Chen, Jianfeng Gao. 311-316 [doi]
• Training Radial Basis Function Networks with Particle SwarmsYu Liu, Qin Zheng, Zhewen Shi, Junying Chen. 317-322 [doi]
• Optimizing Weights by Genetic Algorithm for Neural Network EnsembleZhang-Quan Shen, Fan Sheng Kong. 323-331 [doi]
• Survival Density Particle Swarm Optimization for Neural Network TrainingHongbo Liu, Bo Li, Xiukun Wang, Ye Ji, Yiyuan Tang. 332-337 [doi]
• Modified Error Function with Added Terms for the Backpropagation AlgorithmWeixing Bi, XuGang Wang, Ziliang Zong, Zheng Tang. 338-343 [doi]
• Robust Constrained-LMS AlgorithmXin Song, Jinkuan Wang, Han Wang. 344-349 [doi]
• A Novel Three-Phase Algorithm for RBF Neural Network Center SelectionDae-Won Lee, Jaewook Lee. 350-355 [doi]
• Editing Training Data for kNN Classifiers with Neural Network EnsembleYuan Jiang, Zhi-Hua Zhou. 356-361 [doi]
• Learning Long-Term Dependencies in Segmented Memory Recurrent Neural NetworksJinmiao Chen, Narendra S. Chaudhari. 362-369 [doi]
• An Optimal Neural-Network Model for Learning Posterior Probability Functions from ObservationsChengan Guo, Anthony Kuh. 370-376 [doi]
• The Layered Feed-Forward Neural Networks and Its Rule ExtractionRay Tsaih, Chih-Chung Lin. 377-382 [doi]
• Analysing Contributions of Components and Factors to Pork Odour Using Structural Learning with Forgetting MethodLeilei Pan, Simon X. Yang, Fengchun Tian, Lambert Otten, Roger R. Hacker. 383-388 [doi]
• On Multivariate Calibration ProblemsGuo-Zheng Li, Jie Yang, Jun Lu, Wen-Cong Lu, Nian-yi Chen. 389-394 [doi]
• Control of Associative Chaotic Neural Networks Using a Reinforcement LearningNorihisa Sato, Masaharu Adachi, Makoto Kotani. 395-400 [doi]
• A Method to Improve the Transiently Chaotic Neural NetworkXinshun Xu, Jiahai Wang, Zheng Tang, Xiaoming Chen, Yong Li 0003, Guangpu Xia. 401-405 [doi]
• A New Neural Network for Nonlinear Constrained Optimization ProblemsZhiqing Meng, Chuangyin Dang, Gengui Zhou, Yihua Zhu, Min Jiang. 406-412 [doi]
• Delay PCNN and Its Application for OptimizationXiaodong Gu, LiMing Zhang, Daoheng Yu. 413-418 [doi]
• A New Parallel Improvement Algorithm for Maximum Cut ProblemGuangpu Xia, Zheng Tang, Jiahai Wang, Rong Long Wang, Yong Li 0003, Guangan Xia. 419-424 [doi]
• A New Neural Network Algorithm for Clique Vertex-Partition ProblemJiahai Wang, Xinshun Xu, Zheng Tang, Weixing Bi, Xiaoming Chen, Yong Li 0003. 425-429 [doi]
• An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover ProblemXiaoming Chen, Zheng Tang, Xinshun Xu, Songsong Li, Guangpu Xia, Jiahai Wang. 430-435 [doi]
• A Subgraph Isomorphism Algorithm Based on Hopfield Neural NetworkEnsheng Yu, Xicheng Wang. 436-441 [doi]
• A Positively Self-Feedbacked Hopfield Neural Network for N-Queens ProblemYong Li 0003, Zheng Tang, Rong Long Wang, Guangpu Xia, Jiahai Wang. 442-447 [doi]
• NN-Based GA for Engineering OptimizationLing Wang, Fang Tang. 448-453 [doi]
• Applying GENET to the JSSCSOPXin Feng, Lixin Tang, Ho-Fung Leung. 454-461 [doi]
• Improvements to Bennett?s Nearest Point Algorithm for Support Vector MachinesJianwei Zhang, Bo Zhang, Jianmin Li. 462-467 [doi]
• Distance-Based Selection of Potential Support Vectors by Kernel MatrixBaoqing Li. 468-473 [doi]
• A Learning Method for Robust Support Vector MachinesJun Guo, Norikazu Takahashi, Tetsuo Nishi. 474-479 [doi]
• A Cascade Method for Reducing Training Time and the Number of Support VectorsYimin Wen, Bao-Liang Lu. 480-486 [doi]
• Minimal Enclosing Sphere Estimation and Its Application to SVMs Model SelectionHuaqing Li, Shaoyu Wang, Feihu Qi. 487-493 [doi]
• Constructing Support Vector Classifiers with Unlabeled DataTao Wu, Hanqing Zhao. 494-499 [doi]
• Nested Buffer SMO Algorithm for Training Support Vector ClassifiersXiang Wu, Wenkai Lu. 500-505 [doi]
• Support Vector Classifier with a Fuzzy-Value Class LabelChan-Yun Yang. 506-511 [doi]
• RBF Kernel Based Support Vector Machine with Universal Approximation and Its ApplicationJunping Wang, Quanshi Chen, Yong Chen. 512-517 [doi]
• A Practical Parameters Selection Method for SVMYongsheng Zhu, Chunhung Li, Youyun Zhang. 518-523 [doi]
• Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An ApplicationFabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millerioux, Patrice Aknin. 524-530 [doi]
• Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation KernelHongwei Liu, Zheng Bao. 531-536 [doi]
• Hydrocarbon Reservoir Prediction Using Support Vector MachinesKaifeng Yao, Wenkai Lu, Shanwen Zhang, Huanqin Xiao, Yanda Li. 537-542 [doi]
• Toxic Vapor Classification and Concentration Estimation for Space Shuttle and International Space StationTao Qian, Roger Xu, Chiman Kwan, Bruce Linnell, Rebecca Young. 543-551 [doi]
• Optimal Watermark Detection Based on Support Vector MachinesYonggang Fu, Ruimin Shen, Hongtao Lu. 552-557 [doi]
• Online LS-SVM Learning for Classification Problems Based on Incremental ChunkZhifeng Hao, Shu Yu, Xiaowei Yang, Feng Zhao, Rong Hu, Yanchun Liang. 558-564 [doi]
• A Novel Approach to Clustering Analysis Based on Support Vector MachineZhonghua Li, ShaoBai Chen, Rirong Zheng, Jianping Wu, Zongyuan Mao. 565-570 [doi]
• Application of Support Vector Machine in Queuing SystemGensheng Hu, Feiqi Deng. 571-577 [doi]
• Modelling of Chaotic Systems with Novel Weighted Recurrent Least Squares Support Vector MachinesJiancheng Sun, Taiyi Zhang, Haiyuan Liu. 578-585 [doi]
• Nonlinear System Identification Based on an Improved Support Vector Regression EstimatorLi Zhang, Yugeng Xi. 586-591 [doi]
• Anomaly Detection Using Support Vector MachinesShengfeng Tian, Jian Yu, Chuanhuan Yin. 592-597 [doi]
• Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector MachinesLiu Han, Liu Ding, Jin Yu, Yanming Liang. 598-604 [doi]
• Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath ChannelsYonggang Wang, Licheng Jiao, Dongfang Zhao. 605-610 [doi]
• Eyes Location by Hierarchical SVM ClassifiersYunfeng Li, Zongying Ou. 611-615 [doi]
• Classification of Stellar Spectral Data Using SVMFei Xing, Ping Guo. 616-621 [doi]
• Iris Recognition Using Support Vector MachinesYong Wang, Jiuqiang Han. 622-628 [doi]
• Heuristic Genetic Algorithm-Based Support Vector Classifier for Recognition of Remote Sensing ImagesChunhong Zheng, Guiwen Zheng, Licheng Jiao. 629-635 [doi]
• Landmine Feature Extraction and Classification of GPR Data Based on SVM MethodJing Zhang, Qun Liu, Baikunth Nath. 636-641 [doi]
• Occupant Classification for Smart Airbag Using Stereovision and Support Vector MachinesHyun-Gu Lee, Yong-Guk Kim, Min-Soo Jang, Sang-Jun Kim, Soek-Joo Lee, Gwi-Tae Park. 642-647 [doi]
• Support Vector Machine Committee for ClassificationBing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao. 648-653 [doi]
• Automatic Modulation Classification by Support Vector MachinesZhijin Zhao, Yunshui Zhou, Fei Mei, Jiandong Li. 654-659 [doi]
• Blind Source Separation Using for Time-Delay Direction FindingGaoming Huang, Luxi Yang, Zhenya He. 660-665 [doi]
• Frequency-Domain Separation Algorithms for Instantaneous MixturesTiemin Mei, Fuliang Yin. 666-671 [doi]
• Cumulant-Based Blind Separation of Convolutive MixturesTiemin Mei, Fuliang Yin, Jiangtao Xi, Joe F. Chicharo. 672-677 [doi]
• A New Blind Source Separation Method Based on Fractional Lower Order Statistics and Neural NetworkDaifeng Zha, Tianshuang Qiu, Hong Tang, Yongmei Sun, Sen Li, Lixin Shen. 678-683 [doi]
• A Clustering Approach for Blind Source Separation with More Sources than MixturesZhenwei Shi, Huanwen Tang, Yiyuan Tang. 684-689 [doi]
• A Blind Source Separation Algorithm with Linear Prediction FiltersZhijin Zhao, Fei Mei, Jiandong Li. 690-695 [doi]
• A Blind Source Separation Based Micro Gas Sensor Array Modeling MethodGuangfen Wei, Zhenan Tang, Philip C. H. Chan, Jun Yu. 696-701 [doi]
• A Novel Denoising Algorithm Based on Feedforward Multilayer Blind SeparationXiefeng Cheng, Ju Liu, Jianping Qiao, Yewei Tao. 702-707 [doi]
• The Existence of Spurious Equilibrium in FastICAGang Wang, Dewen Hu. 708-713 [doi]
• Hardware Implementation of Pulsed Neural Networks Based on Delta-Sigma Modulator for ICAHirohisa Hotta, Yoshimitsu Murahashi, Shinji Doki, Shigeru Okuma. 714-719 [doi]
• Study on Object Recognition Based on Independent Component AnalysisXuming Huang, Chengming Liu, LiMing Zhang. 720-725 [doi]
• Application of ICA Method for Detecting Functional MRI Activation DataMinfen Shen, Weiling Xu, Jinyao Yang, Patch Beadle. 726-731 [doi]
• Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component AnalysisLisha Sun, Minfen Shen, Weiling Xu, Francis H. Y. Chan. 732-737 [doi]
• Data Hiding in Independent Components of VideoJiande Sun, Ju Liu, Huibo Hu. 738-743 [doi]
• Multisensor Data Fusion Based on Independent Component Analysis for Fault Diagnosis of RotorXiaojiang Ma, Zhihua Hao. 744-749 [doi]
• Substructural Damage Detection Using Neural Networks and ICAFuzheng Qu, Dali Zou, Xin Wang. 750-754 [doi]
• Speech Segregation Using Constrained ICAQiu-Hua Lin, Yong-Rui Zheng, Fuliang Yin, Hualou Liang. 755-760 [doi]
• Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source SeparationXiao-Long Zhu, Xian-Da Zhang, Ying Jia. 761-767 [doi]
• Progressive Principal Component AnalysisJun Liu, Songcan Chen, Zhi-Hua Zhou. 768-773 [doi]
• Extracting Target Information in Multispectral Images Using a Modified KPCA ApproachZhan-Li Sun, De-Shuang Huang. 774-779 [doi]
• Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS SignalsTianqi Zhang, Xiaokang Lin, Zhengzhong Zhou. 780-785 [doi]
• Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue ModelYaqin Chen, Ling Lin, Gang Li, Jianming Gao, Qilian Yu. 786-791 [doi]
• Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved RoadQing Li, Nanning Zheng, Lin Ma, Hong Cheng. 792-797 [doi]
• Chemical Separation Process Monitoring Based on Nonlinear Principal Component AnalysisFei Liu, Zhong-Gai Zhao. 798-803 [doi]
• An Adjusted Gaussian Skin-Color Model Based on Principal Component AnalysisZhi-Gang Fan, Bao-Liang Lu. 804-809 [doi]
• Convergence Analysis for Oja+ MCA Learning AlgorithmJiancheng Lv, Mao Ye, Zhang Yi. 810-814 [doi]
• On the Discrete Time Dynamics of the MCA Neural NetworksMao Ye, Zhang Yi. 815-821 [doi]
• The Cook Projection Index Estimation Using the Wavelet Kernel FunctionWei Lin, Tian Zheng, Fan He, Xian-Bin Wen. 822-827 [doi]
• Automatic Cluster Number Determination via BYY Harmony LearningXuelei Hu, Lei Xu. 828-833 [doi]
• Unsupervised Learning for Hierarchical Clustering Using Statistical InformationMasaru Okamoto, Nan Bu, Toshio Tsuji. 834-839 [doi]
• Document Clustering Algorithm Based on Tree-Structured Growing Self-Organizing Feature MapXiaoshen Zheng, Wenling Liu, Pilian He, Weidi Dai. 840-845 [doi]
• Improved SOM Clustering for Software Component CatalogueZhuo Wang, Daxin Liu, Xiaoning Feng. 846-851 [doi]
• Classification by Multilayer Feedforward EnsemblesMercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra. 852-857 [doi]
• Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-FaceXiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang. 858-863 [doi]
• Unsupervised Feature Selection for Multi-class Object Detection Using Convolutional Neural NetworksMasakazu Matsugu, Pierre Cardon. 864-869 [doi]
• Recurrent Network as a Nonlinear Line Attractor for Skin Color AssociationMing-Jung Seow, Vijayan K. Asari. 870-875 [doi]
• A Bayesian Classifier by Using the Adaptive Construct Algorithm of the RBF NetworksMinghu Jiang, Dafan Liu, Beixing Deng, Georges G. E. Gielen. 876-881 [doi]
• An Improved Analytical Center Machine for ClassificationFanZi Zeng, Dongsheng Li, ZhengDing Qiu. 882-887 [doi]
• Analysis of Fault Tolerance of a Combining ClassifierHai Zhao, Bao-Liang Lu. 888-893 [doi]
• Training Multilayer Perceptron with Multiple Classifier SystemsHui Zhu, Jiafeng Liu, Xianglong Tang, Jianhuan Huang. 894-899 [doi]
• Learning the Supervised NLDR Mapping for ClassificationZhonglin Lin, Shifeng Weng, Changshui Zhang, Naijiang Lu, Zhimin Xia. 900-905 [doi]
• Comparison with Two Classification Algorithms of Remote Sensing Image Based on Neural NetworkYumin Chen, Youchuan Wan, Jianya Gong, Jin Chen. 906-911 [doi]
• Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral ImagesCarlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra. 912-917 [doi]
• SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal ProgrammingShuiping Gou, Licheng Jiao. 918-923 [doi]
• Speaker Identification Using Reduced RBF Networks ArrayHan Lian, Zheng Wang, Jianjun Wang, LiMing Zhang. 924-929 [doi]
• Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural NetworksChunyu Kang, Xinhua Zhang, Anqing Zhang, Hongwen Lin. 930-935 [doi]
• Automatic Digital Modulation Recognition Using Wavelet Transform and Neural NetworksZhilu Wu, Guanghui Ren, Xuexia Wang, Yaqin Zhao. 936-940 [doi]
• Local Face Recognition Based on the Combination of ICA and NFLYisong Ye, Yan Wu, Mingliang Sun, Mingxi Jin. 941-946 [doi]
• Facial Expression Recognition Using Kernel Discriminant PlaneWenming Zheng, Xiaoyan Zhou, Cairong Zou, Li Zhao. 947-952 [doi]
• Application of CMAC-Based Networks on Medical Image ClassificationWeidong Xu, Shunren Xia, Hua Xie. 953-958 [doi]
• Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic AlgorithmDaizhi Liu, Renming Wang, Xihai Li, Zhigang Liu. 959-964 [doi]
• A Remote Sensing Image Classification Method Using Color and Texture FeatureWen Cao, Tian-Qiang Peng, Bi-Cheng Li. 965-970 [doi]
• Remote Sensing Image Classification Based on Evidence Theory and Neural NetworksGang Chen, Bi-Cheng Li, Zhi-Gang Guo. 971-976 [doi]
• Neural Networks in Detection and Identification of Littoral Oil Pollution by Remote SensingBin Lin, Jubai An, Brown Carl, Hande Zhang. 977-982 [doi]
• Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector MachinesLishuang Li, Chunrong Chen, Degen Huang, Yuansheng Yang. 983-987 [doi]
• FPGA Implementation of Feature Extraction and Neural Network Classifier for Handwritten Digit RecognitionDongsheng Shen, Lianwen Jin, Xiaobin Ma. 988-995 [doi]
• Replicator Neural Networks for Outlier Modeling in Segmental Speech RecognitionLászló Tóth, Gábor Gosztolya. 996-1001 [doi]
• A Novel Approach to Stellar Recognition by Combining EKF and RBF NetLing Bai, Ping Guo. 1002-1007 [doi]
• Pattern Recognition Based on Stability of Discrete Time Cellular Neural NetworksZhigang Zeng, De-Shuang Huang, Zengfu Wang. 1008-1014 [doi]
• The Recognition of the Vehicle License Plate Based on Modular NetworksGuangrong Ji, Hongjie Yi, Bo Qin, Hua Xu. 1015-1020 [doi]
• Neural Network Associator for Images and Their Chinese CharactersZhao Zhang. 1021-1024 [doi]
• Exploring Various Features to Optimize Hot Topic Retrieval on WEBLan You, Xuanjing Huang, Lide Wu, Hao Yu, Jun Wang, Fumihito Nishino. 1025-1031 [doi]