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 | COMPUTATIONAL INTELLIGENCE
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Concepts to Implementations
To order this title, and for more information, click here
By
Russell Eberhart, Purdue School of Engineering
Yuhui Shi, Electronic Data Systems, Inc.
Description
Russ Eberhart and Yuhui Shi have succeeded in integrating various natural and engineering disciplines to establish Computational Intelligence.
This is the first comprehensive textbook, including lots of practical examples. -Shun-ichi Amari, RIKEN Brain Science Institute, Japan
This book is an excellent choice on its own, but, as in my case, will form the foundation for our advanced graduate courses in the CI
disciplines. -James M. Keller, University of Missouri-Columbia
The excellent new book by Eberhart and Shi 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. The book has an emphasis on practical applications and computational tools, which are very useful and important for further
development of the computational intelligence field. -Xin Yao, The Centre of Excellence for Research in Computational Intelligence and
Applications, Birmingham
The ?soft? analytic tools that comprise the field of computational intelligence have matured to the extent
that they can, often in powerful combination with one another, form the foundation for a variety of solutions suitable for use by domain
experts without extensive programming experience.
Computational Intelligence: Concepts to Implementations provides the conceptual and
practical knowledge necessary to develop solutions of this kind. 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.
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.
– Makes available, on
a companion website, a number of software implementations that can be adapted for real-world applications.
Audience
Professional and academic researchers in computational intelligence applications, tool development, and systems.
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
| Bibliographic details |
Hardbound, 496 pages, publication date: AUG-2007
ISBN-13: 978-1-55860-759-0
ISBN-10: 1-55860-759-5
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
USD 78.95 EUR 55.95 GBP 47.99
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Last update: 4 Sep 2009
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