Fuzzy-Neural Control
Principles, Algorithms and Applications
Published on 20. March 1995
Book
Hardback
256 pages
978-0-13-337916-7 (ISBN)
Description
Illustrating how fuzzy logic and neural networks can be integrated into a model reference control context for real-time control of multivariable systems, this book provides a unified architecture which accommodates several popular learning/reasoning paradigms, including counter propagation networks, radial basis functions and CMAC within a fuzzy context. The book introduces new fuzzy-neural controller structures, and demonstrates the feasibility of the proposed approach by showing applications. It is designed for graduate students of neural networks, intelligent control and fuzzy matters in departments of electrical engineering, computer science and maths.
More details
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Professional and scholarly
Illustrations
references, appendices, index
Dimensions
Height: 235 mm
Width: 178 mm
Weight
508 gr
ISBN-13
978-0-13-337916-7 (9780133379167)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
A Unified Approximate Reasoning Approach. Multivariable Blood-Pressure Control. Constructing Rule-Bases by Self-Learning. Neural-Network Based Approximate Reasoning. BNN Network-Based Fuzzy Controller with Self-Learning. A Hybrid Neural-Network Based Self-Organizing Controller. CPN Network-Based Fuzzy Controller. Fuzzified CMAC and RBF Network-Based Self-Learning Controllers.