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Advances in Neural Networks

5th International Symposium on Neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I

  • Conference proceedings
  • © 2008
  • Latest edition

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Editors:
  1. Fuchun Sun

    1. Department of Computer Science and Technology, Tsinghu University, Beijing, China

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  2. Jianwei Zhang

    1. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Hamburg, Germany

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  3. Ying Tan

    1. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, Beijing, China

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  4. Jinde Cao

    1. Department of Mathematics, Southeast University, Nanjing, China

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  5. Wen Yu

    1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, México D.F., México

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5263)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: ISNN 2008.

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About this book

The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.

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Table of contents (98 papers)

  1. Front Matter

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  2. Computational Neuroscience

    1. Single Trial Evoked Potentials Study during an Emotional Processing Based on Wavelet Transform

      • Ling Zou, Renlai Zhou, Senqi Hu, Jing Zhang, Yansong Li
      Pages 1-10

    2. Robust Speaker Modeling Based on Constrained Nonnegative Tensor Factorization

      • Qiang Wu, Liqing Zhang, Guangchuan Shi
      Pages 11-20

    3. A Hypothesis on How the Neocortex Extracts Information for Prediction in Sequence Learning

      • Weiyu Wang
      Pages 21-29

    4. MENN Method Applications for Stock Market Forecasting

      • Guangfeng Jia, Yuehui Chen, Peng Wu
      Pages 30-39

    5. New Chaos Produced from Synchronization of Chaotic Neural Networks

      • Zunshui Cheng
      Pages 40-46

    6. A Two Stage Energy Model Exhibiting Selectivity to Changing Disparity

      • Xiaojiang Guo, Bertram E. Shi
      Pages 47-54

    7. A Feature Extraction Method Based on Wavelet Transform and NMFs

      • Suwen Zhang, Wanyin Deng, Dandan Miao
      Pages 55-62

  3. Cognitive Science

    1. Similarity Measures between Connection Numbers of Set Pair Analysis

      • Junjie Yang, Jianzhong Zhou, Li Liu, Yinghai Li, Zhengjia Wu
      Pages 63-68

    2. Temporal Properties of Illusory-Surface Perception Probed with Poggendorff Configuration

      • Qin Wang, Marsanori Idesawa
      Pages 69-77

    3. Interval Self-Organizing Map for Nonlinear System Identification and Control

      • Luzhou Liu, Jian Xiao, Long Yu
      Pages 78-86

    4. A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learning

      • Yichang Chen, Anpin Chen
      Pages 87-96

    5. The Effect of Task Relevance on Electrophysiological Response to Emotional Stimuli

      • Baolin Liu, Shuai Xin, Zhixing Jin, Xiaorong Gao, Shangkai Gao, Renxin Chu et al.
      Pages 97-106

    6. A Detailed Study on the Modulation of Emotion Processing by Spatial Location

      • Baolin Liu, Shuai Xin, Zhixing Jin, Xiaorong Gao, Shangkai Gao, Renxin Chu et al.
      Pages 107-116

  4. Mathematical Modeling of Neural Systems

    1. MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving

      • Yunong Zhang, Shuai Yue, Ke Chen, Chenfu Yi
      Pages 117-127

    2. Improved Global Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays

      • Yonggang Chen, Tiheng Qin
      Pages 128-137

    3. Global Exponential Stability and Periodicity of CNNs with Time-Varying Discrete and Distributed Delays

      • Shengle Fang, Minghui Jiang, Wenfang Fu
      Pages 138-147

    4. Estimation of Value-at-Risk for Exchange Risk Via Kernel Based Nonlinear Ensembled Multi Scale Model

      • Kaijian He, Chi Xie, Kinkeung Lai
      Pages 148-157

    5. Delay-Dependent Global Asymptotic Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms

      • Jianlong Qiu, Yinlai Jin, Qingyu Zheng
      Pages 158-167

    6. Discrimination of Reconstructed Milk in Raw Milk by Combining Near Infrared Spectroscopy with Biomimetic Pattern Recognition

      • Ming Sun, Qigao Feng, Dong An, Yaoguang Wei, Jibo Si, Longsheng Fu
      Pages 168-175
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Other volumes

  1. Advances in Neural Networks - ISNN 2008

  2. Advances in Neural Networks - ISNN 2008

Editors and Affiliations

  • Department of Computer Science and Technology, Tsinghu University, Beijing, China

    Fuchun Sun

  • Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Hamburg, Germany

    Jianwei Zhang

  • Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, Beijing, China

    Ying Tan

  • Department of Mathematics, Southeast University, Nanjing, China

    Jinde Cao

  • Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, México D.F., México

    Wen Yu

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