Static and dynamic neural networks : from fundamentals to advanced theory

著者

書誌事項

Static and dynamic neural networks : from fundamentals to advanced theory

Madan M. Gupta, Liang Jin, and Noriyasu Homma

IEEE Press , Wiley, c2003

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Provides comprehensive treatment of the theory of both static and dynamic neural networks. Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. An Instructor Support FTP site is available from the Wiley editorial department.

目次

Foreword: Lotfi A. Zadeh. Preface. Acknowledgments. PART I: FOUNDATIONS OF NEURAL NETWORKS. Neural Systems: An Introduction. Biological Foundations of Neuronal Morphology. Neural Units: Concepts, Models, and Learning. PART II: STATIC NEURAL NETWORKS. Multilayered Feedforward Neural Networks (MFNNs) and Backpropagation Learning Algorithms. Advanced Methods for Learning Adaptation in MFNNs. Radial Basis Function Neural Networks. Function Approximation Using Feedforward Neural Networks. PART III: DYNAMIC NEURAL NETWORKS. Dynamic Neural Units (DNUs): Nonlinear Models and Dynamics. Continuous-Time Dynamic Neural Networks. Learning and Adaptation in Dynamic Neural Networks. Stability of Continuous-Time Dynamic Neural Networks. Discrete-Time Dynamic Neural Networks and Their Stability. PART IV: SOME ADVANCED TOPICS IN NEURAL NETWORKS. Binary Neural Networks. Feedback Binary Associative Memories. Fuzzy Sets and Fuzzy Neural Networks. References and Bibliography. Appendix A: Current Bibliographic Sources on Neural Networks. Index.

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詳細情報

  • NII書誌ID(NCID)
    BA62395965
  • ISBN
    • 0471219487
  • LCCN
    2002027426
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Piscataway, N.J.,Hoboken, N.J.
  • ページ数/冊数
    xxviii, 722 p.
  • 大きさ
    25 cm.
  • 分類
  • 件名
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