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Advances in Neural Networks – ISNN 2012

9th International Symposium on Neural Networks, ISNN 2012, Shenyang, China, July 11-14, 2012. Proceedings, Part I

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Jun Wang

    1. Department of Mechanical & Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

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  2. Gary G. Yen

    1. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, USA

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  3. Marios M. Polycarpou

    1. Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7367)

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

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Conference proceedings info: ISNN 2012.

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Table of contents (76 papers)

  1. Front Matter

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  2. Mathematical Modeling

    1. Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysis

      • Alexander A. Frolov, Dušan Húsek, Pavel Yu. Polyakov
      Pages 1-10

    2. Pruning Feedforward Neural Network Search Space Using Local Lipschitz Constants

      • Zaiyong Tang, Kallol Bagchi, Youqin Pan, Gary J. Koehler
      Pages 11-20

    3. Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clustering

      • Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim
      Pages 21-28

    4. Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines

      • Li-Jie Zhao, Jian Tang, Tian-you Chai
      Pages 29-36

    5. A Hierarchical Neural Network Architecture for Classification

      • Jing Wang, Haibo He, Yuan Cao, Jin Xu, Dongbin Zhao
      Pages 37-46

    6. Discrete-Time ZNN Algorithms for Time-Varying Quadratic Programming Subject to Time-Varying Equality Constraint

      • Zhende Ke, Yiwen Yang, Yunong Zhang
      Pages 47-54

    7. Patch Processing for Relational Learning Vector Quantization

      • Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
      Pages 55-63

    8. A Neural Network Model for Currency Arbitrage Detection

      • Zheng Zhang
      Pages 64-71

    9. A Rank Reduced Matrix Method in Extreme Learning Machine

      • Shuxia Lu, Guiqiang Zhang, Xizhao Wang
      Pages 72-79

    10. Research of Dynamic Load Identification Based on Extreme Learning Machine

      • Wentao Mao, Mei Tian, Guirong Yan, Xianfang Wang
      Pages 80-89

    11. Fuzzy Relation-Based Polynomial Neural Networks Based on Hybrid Optimization

      • Wei Huang, Sung-Kwun Oh
      Pages 90-97

    12. Time-Varying Moore-Penrose Inverse Solving Shows Different Zhang Functions Leading to Different ZNN Models

      • Yunong Zhang, Yunjia Xie, Hongzhou Tan
      Pages 98-105

    13. A Multi-object Segmentation Algorithm Based on Background Modeling and Region Growing

      • Kun Zhang, Cuirong Wang, Baoyan Wang
      Pages 106-115

    14. Reflectance Estimation Using Local Regression Methods

      • Wei-Feng Zhang, Peng Yang, Dao-Qing Dai, Arye Nehorai
      Pages 116-122

    15. Applying a Novel Decision Rule to the Semi-supervised Clustering Method Based on One-Class SVM

      • Lei Gu
      Pages 123-131

    16. State Estimation of Markovian Jump Neural Networks with Mixed Time Delays

      • He Huang, Xiaoping Chen
      Pages 132-139

    17. Lattice Boltzmann Model for Nonlinear Heat Equations

      • Qiaojie Li, Zhoushun Zheng, Shuang Wang, Jiankang Liu
      Pages 140-148

    18. A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time

      • Wenyu Yang, Jie Yang, Wei Wu
      Pages 149-158

    19. Modeling and Monitoring of Multimodes Process

      • Yingwei Zhang, Chuang Wang
      Pages 159-168
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Other volumes

  1. Advances in Neural Networks – ISNN 2012

  2. Advances in Neural Networks – ISNN 2012

Keywords

About this book

The two-volume set LNCS 7367 and 7368 constitutes the refereed proceedings of the 9th International Symposium on Neural Networks, ISNN 2012, held in Shenyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recognition; vision; image processing; information processing; neurocontrol; and novel applications.

Editors and Affiliations

  • Department of Mechanical & Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Jun Wang

  • School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, USA

    Gary G. Yen

  • Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

    Marios M. Polycarpou

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