Soft Computing and Fractal Theory for Intelligent Manufacturing.

Oscar and Patricia Melin Castillo

ISBN 10: 3790815470 / ISBN 13: 9783790815474

Published by Heidelberg, Germany Physica-Verlag, 2003

About this Item

Gebraucht - Gut Zustand: Gut, XIV, 283 p. 201 illus. About this book 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. Written for scientists, graduate Students.

Seller Inventory # 16427

Bibliographic Details

• Title: Soft Computing and Fractal Theory for Intelligent Manufacturing.
• Publisher: Heidelberg, Germany Physica-Verlag
• Publication Date: 2003
• Language: English
• ISBN 10: 3790815470
• ISBN 13: 9783790815474
• Binding: Gebunden
• Condition: Gut

About this title

Synopsis

We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory.