Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory (絕)
- 20本以上，享 8.5折
售價
$
洽詢
- 一般書籍
- ISBN：9780471219484
- 作者：Madan M. Gupta
- 版次：1
- 年份：2003
- 出版商：John Wiley
- 頁數/規格：722頁
書籍介紹
目錄
作者介紹
Description
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.
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.
Table of Contents
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.
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.
Madan M. Gupta is a professor in the Intelligent Systems Research Laboratory at the University of Saskatchewan, Canada. He received a BE from the Birla Institute of Technology and Science, Pilani, India, and a PhD from the University of Warwick, Canada. A Fellow of the IEEE and the SPIE, Professor Gupta has been awarded the Kaufmann Prize Gold Medal for Research in the field of fuzzy logic.
