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English
CRC Press Inc
17 November 1998
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain

and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design.

Fusion of Neural Networks, Fuzzy Systems and

Genetic Algorithms integrates neural net, fuzzy system, and

evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another.

This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include:odirect frequency convertersoelectro-hydraulic systemsomotor controlotoaster controlospeech recognitionovehicle routingofault diagnosisoAsynchronous Transfer Mode (ATM) communications networksotelephones for hard-of-hearing peopleocontrol of gas turbine aero-enginesotelecommunications systems designFusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating

the advantages of fusion techniques in industrial applications.

Contributions by:   ,
Edited by:   , , , , , ,
Imprint:   CRC Press Inc
Country of Publication:   United States
Volume:   4
Dimensions:   Height: 234mm,  Width: 156mm,  Spine: 26mm
Weight:   662g
ISBN:   9780849398049
ISBN 10:   0849398045
Series:   International Series on Computational Intelligence
Pages:   362
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Jain, Lakhmi C.; Martin, N.M.

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