Computational Intelligence

Computational Intelligence

Concepts to Implementations

1st Edition - August 10, 2007
This is the Latest Edition
  • Authors: Russell Eberhart, Yuhui Shi
  • eBook ISBN: 9780080553832
  • Hardcover ISBN: 9781558607590

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Description

Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems.

Key Features

  • Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies
  • Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation
  • Details the metrics and analytical tools needed to assess the performance of computational intelligence tools
  • Concludes with a series of case studies that illustrate a wide range of successful applications
  • Presents code examples in C and C++
  • Provides, at the end of each chapter, review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study

Readership

Professional and academic researchers in computational intelligence applications, tool development, and systems.

Table of Contents

  • CHAPTER 1 – FOUNDATIONS
    CHAPTER 2 – COMPUTATIONAL INTELLIGENCE
    CHAPTER 3 – EVOLUTIONARY COMPUTATION CONCEPTS AND PARADIGMS
    CHAPTER 4 – EVOLUTIONARY COMPUTATION IMPLEMENTATIONS
    CHAPTER 5 – NEURAL NETWORK CONCEPTS AND PARADIGMS
    CHAPTER 6 – NEURAL NETWORK IMPLEMENTATIONS
    CHAPTER 7 – FUZZY SYSTEMS CONCEPTS AND PARADIGMS
    CHAPTER 8 – FUZZY SYSTEMS IMPLEMENTATIONS
    CHAPTER 9 – COMPUTATIONAL INTELLIGENCE IMPLEMENTATIONS
    CHAPTER 10 – PERFORMANCE METRICS
    CHAPTER 11 – ANALYSIS AND EXPLANATION
    CHAPTER 12 – CASE STUDY SUMMARIES




Product details

  • No. of pages: 496
  • Language: English
  • Copyright: © Morgan Kaufmann 2007
  • Published: August 10, 2007
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9780080553832
  • Hardcover ISBN: 9781558607590

About the Authors

Russell Eberhart

Russ Eberhart is Associate Dean of Research at Purdue School of Engineering and Technology in Indianapolis, IN. He is the author of Neural Network PC Tools (Academic Press), a leading book in the field of Neural Networks. Among his credits, he is the former President of the IEEE Neural Networks Council.

Affiliations and Expertise

Purdue School of Engineering

Yuhui Shi

Yuhui Shi received the Ph.D. degree in electrical engineering from Southeast University, China, in 1992. Since then, he has worked at several universities including the Department of Radio Engineering, Southeast University, Nanjing, China, the Department of Electrical & Computer Engineering, Concordia University, Montreal, Canada, the Department of Computer Science, Australian Defense Force Academic, Canberra, Australia, the Department of Computer Science, Korean Advanced Institute of Science and Technology, Taejon, Korea, and the Department of Electrical Engineering, Purdue School of Engineering and Technology, Indianapolis, Indiana, USA. He is currently with Electronic Data Systems, Inc., Kokomo, Indiana, USA, as an Applied Specialist. His main interests include artificial neural networks, evolutionary computation, fuzzy logic systems and their industrial applications.

Dr. Shi was a co-presenter of the tutorial, Introduction to Computation Intelligence, at the 1998 WCCI Conference, Anchorage, Alaska, and presented the tutorial, Evolutionary Computation and Fuzzy Systems, at the 1998 ANNIE Conference, St. Louis. He is the technical co-chair of 2001 Particle Swarm Optimization Workshop, Indianapolis, Indiana.

Affiliations and Expertise

Electronic Data Systems, Inc.