ISNN 2005:
Chongqing,
China
Jun Wang, Xiaofeng Liao, Zhang Yi (Eds.):
Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I.
Lecture Notes in Computer Science 3496 Springer 2005, ISBN 3-540-25912-0 BibTeX
Theoretical Analysis
- Shun-ichi Amari:
Population Coding, Bayesian Inference and Information Geometry.
1-4
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- Lei Xu:
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization.
5-20
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- Walter J. Freeman:
Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots.
21-33
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- Shoujue Wang, Yangyang Liu:
Differences and Commonalities Between Connectionism and Symbolicism.
34-38
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- Feilong Cao, ZongBen Xu, Youmei Li:
Pointwise Approximation for Neural Networks.
39-44
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- Lipo Wang, Bing Liu, Chunru Wan:
On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters.
45-50
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- Tan Shan, Xiuli Ma, Xiangrong Zhang, Licheng Jiao:
A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory.
51-56
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- Tan Shan, Xiangrong Zhang, Shuang Wang, Licheng Jiao:
Image Representation in Visual Cortex and High Nonlinear Approximation.
57-62
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- Youmei Li, ZongBen Xu, Feilong Cao:
Generalization and Property Analysis of GENET.
63-68
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- Yumin Zhang, Lei Guo, Lingyao Wu, Chun-Bo Feng:
On Stochastic Neutral Neural Networks.
69-74
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- Chunshu Zhang:
Eigenanalysis of CMAC Neural Network.
75-80
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- Xizhao Wang, Chunguo Li:
A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction.
81-86
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- Xun Liang:
Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture.
87-94
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- Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem Kumar Kalra:
Nonlinear Dynamical Analysis on Coupled Modified Fitzhugh-Nagumo Neuron Model.
95-101
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- Haijun Jiang, Jinde Cao, Zhidong Teng:
Stability of Nonautonomous Recurrent Neural Networks with Time-Varying Delays.
102-107
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- Minghui Jiang, Yi Shen, Meiqin Liu:
Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay.
108-113
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- Yi Shen, Minghui Jiang, Xiaoxin Liao:
A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay.
114-119
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- Jun Zhang, Xiaofeng Liao, Chuandong Li, Anwen Lu:
A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays.
120-125
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- Deyin Wu, Qingyu Xiong, Chuandong Li, Zhong Zhang, Haoyang Tang:
Improved Results for Exponential Stability of Neural Networks with Time-Varying Delays.
126-131
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- Qiankun Song, Zhenjiang Zhao, Xuedong Chen:
Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms.
132-141
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- Huaguang Zhang, Zhanshan Wang, Derong Liu:
Exponential Stability Analysis of Neural Networks with Multiple Time Delays.
142-148
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- Wei Zhang, Jianqiao Yu:
Exponential Stability of Cohen-Grossberg Neural Networks with Delays.
149-155
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- Yi Shen, Minghui Jiang, Xiaoxin Liao:
Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays.
156-161
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- Xiaolin Li, Jinde Cao:
Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays.
162-167
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- Tingwen Huang, Linhua Zhang:
Exponential Stability of Fuzzy Cellular Neural Networks with Unbounded Delay.
168-173
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- Zhihong Tang, Yiping Luo, Feiqi Deng:
Global Exponential Stability of Reaction-Diffusion Hopfield Neural Networks with Distributed Delays.
174-180
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- Bingji Xu, Qun Wang, Yi Shen, Xiaoxin Liao:
Global Exponential Stability of Delayed Impulsive Hopfield Type Neural Networks.
181-186
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- Zhichun Yang, Jinan Pei, Daoyi Xu, Yumei Huang, Li Xiang:
Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects.
187-192
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- Qiang Zhang, Wenbing Liu, Xiaopeng Wei:
Global Exponential Stability of Discrete Time Hopfield Neural Networks with Delays.
193-198
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- Hanlin He, Zhongsheng Wang, Xiaoxin Liao:
Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays.
199-202
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- Li Xie, Tianming Liu, Jilin Liu, WeiKang Gu, Stephen T. C. Wong:
Robust Stability for Delayed Neural Networks with Nonlinear Perturbation.
203-208
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- Huaguang Zhang, Ce Ji, Derong Liu:
Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays.
209-214
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- Wenlian Lu, Tianping Chen:
Robust Stability of Interval Delayed Neural Networks.
215-221
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- Yinping Zhang, Jitao Sun:
Impulsive Robust Control of Interval Hopfield Neural Networks.
222-228
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- Tao Xiang, Xiaofeng Liao, Jian Huang:
Global Attractivity of Cohen-Grossberg Model with Delays.
229-234
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- Yi Shen, Xiaojun Zong, Minghui Jiang:
High-Order Hopfield Neural Networks.
235-240
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- Jinan Pei, Daoyi Xu, Zhichun Yang, Wei Zhu:
Stability Analysis of Second Order Hopfield Neural Networks with Time Delays.
241-246
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- Hongtao Lu, Zhizhou Zhang, Lin He:
Convergence Analysis of Genetic Regulatory Networks Based on Nonlinear Measures.
247-252
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- Runnian Ma, Shengrui Zhang, Sheping Lei:
Stability Conditions for Discrete Neural Networks in Partial Simultaneous Updating Mode.
253-258
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- Runnian Ma, Sheping Lei, Shengrui Zhang:
Dynamic Behavior Analysis of Discrete Neural Networks with Delay.
259-264
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- Xiaofan Yang, David J. Evans, Yuan Yan Tang:
Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks.
265-270
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- Changyin Sun, Liangzhen Xia, Chun-Bo Feng:
Globally Attractive Periodic Solutions of Continuous-Time Neural Networks and Their Discrete-Time Counterparts.
271-275
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- Chaojin Fu, Hanlin He, Xiaoxin Liao:
Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks.
276-281
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- Zhigang Zeng, Boshan Chen, Zengfu Wang:
Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays.
282-287
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- Jianlong Qiu, Jinde Cao:
An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays.
288-293
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- Boshan Chen:
Periodic Oscillation and Exponential Stability of a Class of Competitive Neural Networks.
294-301
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- Ying Wu, Jianxue Xu, Wuyin Jin:
Synchronous Behaviors of Two Coupled Neurons.
302-307
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- Jin Zhou, Tianping Chen, Xiang Lan:
Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification.
308-313
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- Yan Li, Xiaoli Li, Gaoxiang Ouyang, Xinping Guan:
Strength and Direction of Phase Synchronization of Neural Networks.
314-319
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- Shaorong Li, Shaowen Li, Xipeng Sun, Jie Li:
Hopf Bifurcation in a Single Inertial Neuron Model: A Frequency Domain Approach.
320-326
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- Shaowen Li, Shaorong Li:
Hopf Bifurcation in a Single Inertial Neuron Model with a Discrete Delay.
327-333
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- Xu Xu, Yanchun Liang:
Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters.
334-339
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- Shangbo Zhou, Hua Li, Zhongfu Wu:
Stability and Chaos of a Neural Network with Uncertain Time Delays.
340-345
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- Fenghua Tu, Xiaofeng Liao, Chuandong Li:
Chaotic Synchronization of Delayed Neural Networks.
346-350
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- Xiaohong Zhang, Shangbo Zhou:
Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays.
351-356
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- Qingdu Li, Xiao-Song Yang:
Complex Dynamics in a Simple Hopfield-Type Neural Network.
357-362
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- Lidan Wang, Shukai Duan, Guangyuan Liu:
Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model.
363-368
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Model Design
- Wentao Huang, Licheng Jiao, Maoguo Gong, Chuang Guo:
Modeling Cortex Network: A Spatio-temporal Population Approach.
369-374
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- Xusheng Sun, Shuning Wang:
A Special Kind of Neural Networks: Continuous Piecewise Linear Functions.
375-379
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- Yingtung Hsiao, Chenglong Chuang, Joeair Jiang, Chiang Wang, Chengchih Chien:
A Novel Dynamic Structural Neural Network with Neuron-Regeneration and Neuron-Degeneration Mechanisms.
380-384
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- Shuyuan Yang, Min Wang, Licheng Jiao:
A New Adaptive Ridgelet Neural Network.
385-390
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- Bo Liu, Ling Wang, Yihui Jin, Dexian Huang:
Designing Neural Networks Using Hybrid Particle Swarm Optimization.
391-397
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- Gengsheng Zheng, Sidney Nascimento Givigi, Weiyu Zheng:
A New Strategy for Designing Bidirectional Associative Memories.
398-403
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- Sung-Kwun Oh, Byoung-Jun Park, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons.
404-409
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- Ho-Sung Park, Daehee Park, Sung-Kwun Oh:
Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation.
410-415
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- Sung-Kwun Oh, Keon-Jun Park, Hyungsoo Hwang:
Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation.
416-421
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- Byoung-Jun Park, Sung-Kwun Oh:
Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation.
422-427
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- Sung-Kwun Oh, Seok-Beom Roh, Yongkab Kim:
Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation.
428-433
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- Meng Joo Er, Rishikesh Parthasarathi:
A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems.
434-439
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- Lunwen Wang, Ying Tan, Ling Zhang:
Constructive Fuzzy Neural Networks and Its Application.
440-445
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- Jianye Zhao, Hongling Meng, Daoheng Yu:
A Novel CNN Template Design Method Based on GIM.
446-454
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- Yong Chen, Guoyin Wang, Fan Jin, Tianyun Yan:
A Novel Generalized Congruence Neural Networks.
455-460
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- Cristofer Englund, Antanas Verikas:
A SOM Based Model Combination Strategy.
461-466
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- Jing Li, Bao-Liang Lu, Michinori Ichikawa:
Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function.
467-472
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- Shisheng Zhong, Gang Ding, Daizhong Su:
Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions.
473-478
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- Zihong Liu, Zhihua Wang, Guolin Li, Zhiping Yu:
A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories.
479-484
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- Ming-Jung Seow, Vijayan K. Asari:
Associative Memory Using Nonlinear Line Attractor Network for Multi-valued Pattern Association.
485-490
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- Shukai Duan, Lidan Wang:
Associative Chaotic Neural Network via Exponential Decay Spatio-temporal Effect.
491-496
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- Tian-yi Ma, Ling Wang, Yingtao Jiang, Xiao-Zong Yang:
On a Chaotic Neural Network with Decaying Chaotic Noise.
497-502
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- Manghui Wang:
Extension Neural Network-Type 3.
503-508
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- Junquan Li, Yixin Yin:
Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters.
509-514
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- Jian Tang, Zengqi Sun, Jihong Zhu:
Using Ensemble Information in Swarming Artificial Neural Networks.
515-519
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- Zheng Qin, Yu Liu, Xingchen Heng, Xianhui Wang:
Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization.
520-525
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- Haixia Chen, Senmiao Yuan, Kai Jiang:
Wrapper Approach for Learning Neural Network Ensemble by Feature Selection.
526-531
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- Yue Liu, Yuan Li, Guo-Zheng Li, Bofeng Zhang, Gengfeng Wu:
Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction.
532-537
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Learning Methods
- Bin Zou, Luoqing Li, Jie Xu:
The Bounds on the Rate of Uniform Convergence for Learning Machine.
538-545
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- Hongyu Li, Li Teng, Wenbin Chen, I-Fan Shen:
Supervised Learning on Local Tangent Space.
546-551
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- Yali Zhao, Guangcheng Xi, Jianqiang Yi:
Study Markov Neural Network by Stochastic Graph.
552-557
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- Nakjin Choi, Jun-Seok Lim, Koeng-Mo Sung:
An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks.
558-565
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- Lingyun Hu, Zengqi Sun:
A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function.
566-571
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- Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang:
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.
572-577
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- Jun-Seok Lim, Nakjin Choi, Koeng-Mo Sung:
Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training.
578-584
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- Jiancheng Lv, Zhang Yi:
An Improved Backpropagation Algorithm Using Absolute Error Function.
585-590
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- Zhiyong Zhang, Jingang Liu, Zhongzhi Shi:
An Improved Relative Criterion Using BP Algorithm.
591-596
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- Younggui Yoon, Jaewook Lee:
Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training.
597-602
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- Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am Sok Oh:
Enhanced Fuzzy Single Layer Perceptron.
603-608
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- Jie Yang, Wei Wu, Zhiqiong Shao:
A New Training Algorithm for a Fuzzy Perceptron and Its Convergence.
609-614
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- Junping Wang, Quanshi Chen:
Stochastic Fuzzy Neural Network and Its Robust Parameter Learning Algorithm.
615-620
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- Dongli Wang, Yang Gao, Pei Yang:
Applying Neural Network to Reinforcement Learning in Continuous Spaces.
621-626
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- SeungGwan Lee:
Multiagent Reinforcement Learning Algorithm Using Temporal Difference Error.
627-633
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- Jian Fan, Gengfeng Wu:
A Foremost-Policy Reinforcement Learning Based ART2 Neural Network and Its Learning Algorithm.
634-639
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- Jianing Li, Jianqiang Yi, Dongbin Zhao, Guangcheng Xi:
A Reinforcement Learning Based Radial-Bassis Function Network Control System.
640-645
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- Yang Yang, Bao-Liang Lu:
Structure Pruning Strategies for Min-Max Modular Network.
646-651
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- Pan Wang, Zhun Fan, Youfeng Li, Feng Shan:
Sequential Bayesian Learning for Modular Neural Networks.
652-659
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- Dongsun Kim, Hyunsik Kim, Duckjin Chung:
A Modified Genetic Algorithm for Fast Training Neural Networks.
660-665
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- Xiuli Ma, Licheng Jiao:
Immunity Clonal Synergetic Learning of Unbalanced Attention Parameters in Synergetic Network.
666-671
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- Yi He, Yuhui Qiu, Guangyuan Liu, Kaiyou Lei:
Optimizing Weights of Neural Network Using an Adaptive Tabu Search Approach.
672-676
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- Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng:
Semi-supervised Learning for Image Retrieval Using Support Vector Machines.
677-681
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- Lipo Wang, Xiuju Fu:
A Simple Rule Extraction Method Using a Compact RBF Neural Network.
682-687
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- Li Xiao, Guangyuan Liu:
Automatic Fuzzy Rule Extraction Based on Fuzzy Neural Network.
688-693
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Optimization Methods
- Changyin Sun, Chun-Bo Feng:
Neural Networks for Nonconvex Nonlinear Programming Problems: A Switching Control Approach.
694-699
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- Weitao Sun, Jiwu Shu, Weimin Zheng:
Deterministic Global Optimization with a Neighbourhood Determination Algorithm Based on Neural Networks.
700-705
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- Yongqing Yang, Jinde Cao, Daqi Zhu:
A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints.
706-711
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- Zhiqing Meng, Chuangyin Dang:
A Hopfiled Neural Network for Nonlinear Constrained Optimization Problems Based on Penalty Function.
712-717
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- Xuewen Mu, Sanyang Liu, Yaling Zhang:
A Neural Network Algorithm for Second-Order Conic Programming.
718-724
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- Hongzhong Huang, Zhigang Tian:
Application of Neural Network to Interactive Physical Programming.
725-730
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- Paulo Henrique Siqueira, Sérgio Scheer, Maria Teresinha Arns Steiner:
Application of the "Winner Takes All" Principle in Wang's Recurrent Neural Network for the Assignment Problem.
731-738
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- Hong Qu, Zhang Yi, XiaoLin Xiang:
Theoretical Analysis and Parameter Setting of Hopfield Neural Networks.
739-744
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- Xiuhong Wang, Qingli Qiao, Zhengqu Wang:
Solving Optimization Problems Based on Chaotic Neural Network with Hysteretic Activation Function.
745-749
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- Shenshen Gu:
An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem.
750-755
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- Huali Sun, Jianying Xie, Yaofeng Xue:
A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem.
756-761
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- Xinli Xu, Qiu Guan, Wanliang Wang, Shengyong Chen:
Transient Chaotic Discrete Neural Network for Flexible Job-Shop Scheduling.
762-769
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- Fuqing Zhao, Yi Hong, Dongmei Yu, Xuhui Chen, Yahong Yang:
Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem.
770-775
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- Xin Feng, Ho-fung Leung, Lixin Tang:
An Effective Algorithm Based on GENET Neural Network Model for Job Shop Scheduling with Release Dates and Due Dates.
776-781
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- Yuan Xie, Jianying Xie, Jie Li:
Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network.
782-787
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- Lixin Tang, Yanyan Zhang:
Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times.
788-793
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- Yongyi Shou:
A Neural Network Based Heuristic for Resource-Constrained Project Scheduling.
794-799
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- Ping Wang, Hongzhong Huang, Ming J. Zuo, Weidong Wu, Chunsheng Liu:
Functional-Link Net Based Multiobjective Fuzzy Optimization.
800-804
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- Xianghui Liu, Jianping Yin, Zhiping Cai, Xicheng Lu, Shiming Chen:
Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Neural Networks.
805-810
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- Jinwu Gao, Yankui Liu:
Stochastic Nash Equilibrium with a Numerical Solution Method.
811-816
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Kernel Methods
- Zhenzhou Chen, Lei Li:
Generalized Foley-Sammon Transform with Kernels.
817-823
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- Hong-Jie Xing, Yujiu Yang, Yong Wang, Bao-Gang Hu:
Sparse Kernel Fisher Discriminant Analysis.
824-830
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- Peter Williams, Sheng Li, Jianfeng Feng, Si Wu:
Scaling the Kernel Function to Improve Performance of the Support Vector Machine.
831-836
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- Liangzhi Gan, Zonghai Sun, Youxian Sun:
Online Support Vector Machines with Vectors Sieving Method.
837-842
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- Xiangjun Wen, Yunze Cai, Xiaoming Xu:
Least Squares Support Vector Machine Based on Continuous Wavelet Kernel.
843-850
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- Liefeng Bo, Ling Wang, Licheng Jiao:
Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error.
851-856
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- Daewon Lee, Jaewook Lee:
Trajectory-Based Support Vector Multicategory Classifier.
857-862
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- Jingqing Jiang, Chunguo Wu, Yanchun Liang:
Multi-category Classification by Least Squares Support Vector Regression.
863-868
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- Zhifeng Hao, Bo Liu, Xiaowei Yang, Yanchun Liang, Feng Zhao:
Twi-Map Support Vector Machine for Multi-classification Problems.
869-874
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- Jun Feng, Yang Yang, Jinsheng Fan:
Fuzzy Multi-class SVM Classifier Based on Optimal Directed Acyclic Graph Using in Similar Handwritten Chinese Characters Recognition.
875-880
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- Yimin Wen, Bao-Liang Lu:
A Hierarchical and Parallel Method for Training Support Vector Machines.
881-886
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- Kaian Wang, Hai Zhao, Bao-Liang Lu:
Task Decomposition Using Geometric Relation for Min-Max Modular SVMs.
887-892
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- Shuyuan Yang, Min Wang, Licheng Jiao, Qing Li:
A Novel Ridgelet Kernel Regression Method.
893-899
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- Jianhua Xu:
Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound.
900-905
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- Zejian Yuan, Nanning Zheng, Yuehu Liu:
A Cascaded Mixture SVM Classifier for Object Detection.
906-912
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- Hongwei Liu, Hongtao Su, Zheng Bao:
Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA.
913-918
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- Meiying Ye:
Controlling Chaotic Systems via Support Vector Machines Without Analytical Model.
919-924
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- Fei Xing, Ping Guo:
Support Vector Regression for Software Reliability Growth Modeling and Prediction.
925-930
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- Peng Fu, Deyun Zhang, Zhaofeng Ma, Hao Dong:
SVM-Based Semantic Text Categorization for Large Scale Web Information Organization.
931-936
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- Zhousuo Zhang, Qiao Hu, Zhengjia He:
Fuzzy Support Vector Machine and Its Application to Mechanical Condition Monitoring.
937-942
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Component Analysis
- Juan Manuel Górriz Sáez, Carlos García Puntonet, Angel Manuel Gómez, Oscar Pernía:
Guided GA-ICA Algorithms.
943-948
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- Jian Cheng, Kongqiao Wang, Yen-Wei Chen:
A Cascaded Ensemble Learning for Independent Component Analysis.
949-954
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- Dengpan Gao, Jinwen Ma, QianSheng Cheng:
A Step by Step Optimization Approach to Independent Component Analysis.
955-960
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- Gang Wang, Xin Xu, Dewen Hu:
Self-adaptive FastICA Based on Generalized Gaussian Model.
961-966
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- Zhilin Zhang, Zhang Yi:
An Efficient Independent Component Analysis Algorithm for Sub-Gaussian Sources.
967-972
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- Jianzhao Qin, Yuanqing Li, Andrzej Cichocki:
ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System.
973-978
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- Yi-qiong Xu, Bi-cheng Li, Bo Wang:
Fast Independent Component Analysis for Face Feature Extraction.
979-984
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- Chengming Liu, Xuming Huang, LiMing Zhang:
Affine Invariant Descriptors for Color Images Based on Independent Component Analysis.
985-990
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- Linhua Zhang, Shaojiang Deng, Xuebing Wang:
A New Image Protection and Authentication Technique Based on ICA.
991-996
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- Tao Jiang, Xingzhou Jiang:
Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis.
997-1003
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- Dazheng Feng:
A Multistage Decomposition Approach for Adaptive Principal Component Analysis.
1004-1009
Electronic Edition (link) BibTeX
- Xiao-Long Zhu, Xian-Da Zhang, Ying Jia:
A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis.
1010-1015
Electronic Edition (link) BibTeX
- Vo Dinh Minh Nhat, Sungyoung Lee:
An Improvement on PCA Algorithm for Face Recognition.
1016-1021
Electronic Edition (link) BibTeX
- Tianqi Zhang, Xiaokang Lin, Zhengzhong Zhou, Aiping Mu:
A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals.
1022-1027
Electronic Edition (link) BibTeX
- Dezhong Peng, Zhang Yi, XiaoLin Xiang:
A Modified MCA EXIN Algorithm and Its Convergence Analysis.
1028-1033
Electronic Edition (link) BibTeX
- Mao Ye:
Robust Beamforming by a Globally Convergent MCA Neural Network.
1034-1041
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:25:56 2009
by Michael Ley (ley@uni-trier.de)
