Fuzzy neural network theory and application

✍ Scribed by Puyin Liu, Hongxing Li

Publisher: World Scientific Publishing Company
Year: 2004
Tongue: English
Leaves: 395
Series: Series in Machine Perception and Artificial Intelligence, Vol. 59
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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