Fuzzy and Neural Approaches in Engineering

1. Auflage 1997
ISBN: 978-0-471-16003-8
Verlag: Wiley

Buch, Englisch, 600 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 1070 g

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.

Autoren/Hrsg.

Tsoukalas, Lefteri H

Uhrig, Robert E

Weitere Mitwirkende

Zadeh, Lotfi A.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
• Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur

Inhaltsverzeichnis

Aus dem Inhalt:

Introduction to Hybrid AI Systems;
Foundations of Fuzzy Approaches;
Fuzzy Relations;
Fuzzy Numbers;
Linguistic Descriptions and Their Analytical Forms;
Fuzzy Control;
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;
Neural Networks in Fuzzy Systems;
Fuzzy Methods in Neural Networks;
General Hybrid Neurofuzzy Applications;
Dynamic Hybrid Neurofuzzy Applications;
Role of Expert Systems in Fuzzy Neural Systems;
Genetic Algorithms;
Future Trends in Soft Computing

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.

Über Autor(innen)

LEFTERI H. TSOUKALAS, PhD, is on the faculty of the School of Nuclear Engineering at Purdue University and is an active industrial consultant and speaker. ROBERT E. UHRIG, PhD, holds a joint appointment as Distinguished Professor in the Nuclear Engineering Department at the University of Tennessee and Distinguished Scientist in the Instrumentation and Control Division at the Oak Ridge National Laboratory. He is the author of Random Noise Techniques in Nuclear Reactor Systems.