
Compensatory Genetic Fuzzy Neural Networks And Their Applications
World Scientific Publishing Co Pte Ltd
Will be published approx. on 24. August 1998
Book
Hardback
200 pages
978-981-02-3349-5 (ISBN)
Description
This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 227 mm
Width: 160 mm
Thickness: 17 mm
Weight
440 gr
ISBN-13
978-981-02-3349-5 (9789810233495)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Fuzzy compensation principles; normal fuzzy reasoning methodology; compensatory genetic fuzzy neural networks; fuzzy knowledge rediscovery in fuzzy rule bases; fuzzy cat-pole balancing control systems; fuzzy knowledge compression and expansion; highly nonlinear system modelling and prediction; fuzzy moves in fuzzy games; genetic neuro-fuzzy pattern recognition; constructive approach to modelling fuzzy systems.