MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control (Band Nr. 1)
1. Auflage Juni 1997
224 Seiten, Softcover
Wiley & Sons Ltd
Kurzbeschreibung
Die ingenieurtechnische Anwendung von Fuzzy Logic und neuronalen Netzen hat in letzter Zeit immer mehr an Bedeutung gewonnen. Dieses Handbuch enthält auf MATLAB basierende ergänzende Programme zu diesen Themen. Die beiliegende Diskette mit zugehörigen Programmtexten rundet das Werk ab.
This book and disk set introduces the fundamentals necessary toapply fuzzy systems, neural networks, and integrated "neurofuzzy"technology to engineering problems using MATLAB. Whether used onits own or as a companion to Fuzzy and Neural Approaches inEngineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley1997), it takes readers step by step from theory to codedevelopment and implementation--enabling students andresearchers to explore the new frontiers in soft computing.
The Supplement features:
* A practical introduction to MATLAB, plus lists of online andother available resources
* MATLAB code demonstrations of theory and architecturesdiscussed in Fuzzy and Neural Approaches in Engineering
* Foundations of fuzzy approaches and relationships, fuzzynumbers, and fuzzy control
* Fundamentals of competitive, associative, and dynamic neuralnetworks and neural control systems
* Practical coverage of neural methods in fuzzy systems and otherhybrid neurofuzzy systems and applications.
System requirements for IBM-compatible disk:
* 486 processor (Pentium recommended)
* 8 MB of RAM (16 MB recommended)
* 5 MB hard disk space
* MATLAB--student or professional edition
* Microsoft Word 6.0 or 7.0.
Introduction to Hybrid Artificial Intelligent Systems; Foundations of Fuzzy Approaches; Fuzzy Relationships; Fuzzy Numbers; Linguistic Descriptions and their Analytical Form; Fuzzy Control; Fundamental of Neural Networks; Backpropagation and Related Training Paradigms; Competitive, Associate and other Special Neural Networks; Dynamic Neural Networks and Control Systems; Practical Aspects of Neural Networks; Neural Methods in Fuzzy Systems Neural Methods in Fuzzy Systems; General Hybrid Neurofuzzy Applications; Dynamic Hybrid Neurofuzzy Systems; Role of Expert Systems in Neurofuzzy Systems; Genetic Algorithms.
