Soft Computing and Fractal Theory for Intelligent Manufacturing

Oscar Castillo, Patricia Melin

298 pages, parution le 29/01/2003

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Résumé

The book describes the application of soft computing techniques and fractal theory to intelligent manufacturing. Hybrid intelligent systems, which integrate different soft computing techniques and fractal theory, are also presented. The text covers the basics of fuzzy logic, neural networks, genetic algorithms, simulated annealing, chaos and fractal theory. It also describes in detail different hybrid architectures for developing intelligent manufacturing systems for applications in automated quality control, process monitoring and diagnostics, adaptive control of non-linear plants, and time series prediction. Real-world applications covered in this book include: tuning of televisions, battery charging, sound speaker testing, fruit classification, and stepping motors.

Keywords: fractal theory, fuzzy logic, intelligent manufacturing, neural networks, soft computing

Contents

Introduction
Type-1 Fuzzy Logic
Type-2 Fuzzy Logic
Supervised Learning Neural Networks
Unsupervised Learning Neural Networks
Genetic Algorithms and Simulated Annealing
Dynamical Systems Theory
Plant Monitoring and Diagnostics
Adaptive Control of Non-Linear Plants
Automated Quality Control in Sound Speaker Manufacturing
Intelligent Manufacturing of Television Sets
Intelligent Manufacturing of Batteries

L'auteur - Oscar Castillo

Tijuana Institute of Technology, Chula Vista, CA, USA

L'auteur - Patricia Melin

Tijuana Institute of Technology, Chula Vista, CA, USA
Soft Computing and Fractal Theory

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Oscar Castillo, Patricia Melin
Parution	29/01/2003
Nb. de pages	298
Format	16 x 24
Couverture	Relié
Poids	572g
Intérieur	Noir et Blanc
EAN13	9783790815474