Flexible Neuro-fuzzy Systems: Structures, Learning and Performance Evaluation

✍ Scribed by Leszek Rutkowski

• Publisher: Springer
• Year: 2004
• Tongue: English
• Leaves: 294
• Series: The Springer International Series in Engineering and Computer Science
• Edition: 1
• Category: Library

✦ Synopsis

Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features:-Provides a framework for unification, construction and development of neuro-fuzzy systems;-Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation,-Covers not only advanced topics but also fundamentals of fuzzy sets,-Includes problems and exercises following each chapter,-Illustrates the results on a wide variety of simulations,-Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.

✦ Table of Contents

Team DDU......Page 1
Contents......Page 8
FOREWORD......Page 12
1. INTRODUCTION......Page 16
2. ELEMENTS OF THE THEORY OF FUZZY SETS......Page 22
3. FUZZY INFERENCE SYSTEMS......Page 42
4. FLEXIBILITY IN FUZZY SYSTEMS......Page 66
5. FLEXIBLE OR-TYPE NEURO-FUZZY SYSTEMS......Page 90
6. FLEXIBLE COMPROMISE AND-TYPE NEURO-FUZZY SYSTEMS......Page 144
7. FLEXIBLE MAMDANI-TYPE NEURO-FUZZY SYSTEMS......Page 180
8. FLEXIBLE LOGICAL-TYPE NEURO-FUZZY SYSTEMS......Page 200
9. PERFORMANCE COMPARISON OF NEURO-FUZZY SYSTEMS......Page 250
APPENDIX......Page 270
BIBLIOGRAPHY......Page 280
INDEX......Page 292

✦ Subjects

Математика;Математическая логика;Нечеткая логика;