Soft computing techniques in knowledge-based intelligent engineering systems : approaches and applications
Author(s)
Bibliographic Information
Soft computing techniques in knowledge-based intelligent engineering systems : approaches and applications
（Studies in fuzziness and soft computing, v. 10）
Physica-Verlag, c1997
Available at 10 libraries
Note
Includes bibliographical references
Description and Table of Contents
Description
Presented are the theory and applications of soft computing paradigms including knowledge-based techniques, neural networks, fuzzy systems and genetic algorithms in engineering system design. The book contains 11 chapters. The first four provide an introduction to to the knowledge-based systems, neural networks, fuzzy systems and evolutionary computing techniques. The last 7 chapters include the applications of knowledge-based systems in engineering: productivity, quality and technology transfer; knowledge-based sytems in real-time applications; logic grammer in electronic circuit representation; applications of neural networks; evolution of neural structure based on cellular automata; application of ART and ARTMAP in self-organising learning, recognition and production; and applications of fuzzy systems.
Table of Contents
- Knowledge-based Intelligent Systems. Neural Network Paradigms. Fuzzy Logic in Engineering. Introduction to Evolutionary Computing Techniques
- Developing Knowledge-based Applications in Engineering. Real-Time Knowledge-based Systems: Concepts, Issues, Approaches. Analogue/Digital Circuits Representation for Design and Trouble Shooting in Intelligent Environment. Applications of Neural Networks in Engineering. Evolution of Neural Structures Based on Cellular Automata. Further Applications of ART Paradigms. Fuzzy Control - Design and Engineering Applications.
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