
- 396 pages
- English
- PDF
- Available on iOS & Android
Fuzzy Neural Network Theory And Application
About this book
This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering.
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Information
Table of contents
- Contents
- Foreword
- Preface
- Chapter I Introduction
- Chapter II Fuzzy Neural Networks for Storing and Classifying
- Chapter III Fuzzy Associative Memory—Feedback Networks
- Chapter IV Regular Fuzzy Neural Networks
- Chapter V Polygonal Fuzzy Neural Networks
- Chapter VI Approximation Analysis of Fuzzy Systems
- Chapter VII Stochastic Fuzzy Systems and Approximations
- Chapter VIII Application of FNN to Image Restoration
- Indices