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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering J. Wesley Hines

MATLAB Supplement to Fuzzy and Neural Approaches in Engineering von J. Wesley Hines

MATLAB Supplement to Fuzzy and Neural Approaches in Engineering J. Wesley Hines

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Zusammenfassung

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function.

MATLAB Supplement to Fuzzy and Neural Approaches in Engineering Zusammenfassung

MATLAB Supplement to Fuzzy and Neural Approaches in Engineering J. Wesley Hines

This book and disk set introduces the fundamentals necessary toapply fuzzy systems, neural networks, and integrated neurofuzzytechnology 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.

Über J. Wesley Hines

J. WESLEY HINES, PhD, is a research assistant professor in the Nuclear Engineering Department at the University of Tennessee.

Inhaltsverzeichnis

Introduction to Hybrid Artificial Intelligence Systems.

FUZZY SYSTEMS: CONCEPTS AND FUNDAMENTALS.

Foundations of Fuzzy Approaches.

Fuzzy Relations.

Fuzzy Numbers.

Linguistic Descriptions and Their Analytical Forms.

Fuzzy Control.

NEURAL NETWORKS: CONCEPTS AND FUNDAMENTALS.

Fundamentals of Neural Networks.

Backpropagation and Related Training Algorithms.

Competitive, Associative, and Other Special Neural Networks.

Dynamic Systems and Neural Control.

Practical Aspects of Using Neural Networks.

INTEGRATED NEURAL-FUZZY TECHNOLOGY.

Fuzzy Methods in Neural Networks.

Fuzzy Methods in Fuzzy Systems.

Selected Hybrid Neurofuzzy Applications.

Dynamic Hybrid Neurofuzzy Systems.

OTHER ARTIFICAL INTELLIGENCE SYSTEMS.

Expert Systems in Neurofuzzy Systems.

Genetic Algorithms.

Epilogue.

Appendix.

Index.

Zusätzliche Informationen

GOR013391931
9780471192473
0471192473
MATLAB Supplement to Fuzzy and Neural Approaches in Engineering J. Wesley Hines
J. Wesley Hines
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Gebraucht - Sehr Gut
Gebundene Ausgabe
John Wiley & Sons Inc
19970620
224
N/A
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