Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives
eBook - PDF

Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives

Soft Computing Perspectives

  1. 252 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives

Soft Computing Perspectives

About this book

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.

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Yes, you can access Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives by Elie Sanchez, Takanori Shibata, Lotfi A Zadeh in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Contents
  2. Foreword
  3. Preface
  4. Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms
  5. Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator
  6. A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm
  7. Automatic Fuzzy Tuning and Its Applications
  8. An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomson's W.A.R.P. Fuzzy Processor
  9. On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation
  10. Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms
  11. Intelligent Systems for Fraud Detection
  12. Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback
  13. Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search
  14. An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain
  15. A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995