Computational Intelligence: Concepts to Implementations (Hardcover)

Russell C. Eberhart, Yuhui Shi

買這商品的人也買了...

商品描述

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.

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




商品描述(中文翻譯)

描述

Russ Eberhart和Yuhui Shi成功地整合了各種自然和工程學科,建立了計算智能。這是第一本包含大量實際例子的綜合教材。
-日本理化學研究所腦科學研究所的Shun-ichi Amari
這本書本身就是一個很好的選擇,但對於我們高級研究生課程中的計算智能學科,它將成為基礎。
-密蘇里大學哥倫比亞分校的James M. Keller
Eberhart和Shi的這本優秀新書聲稱,計算智能建立在進化計算的基礎上。這種新鮮的觀點使這本書與其他計算智能書籍有所不同。該書強調實際應用和計算工具,這對於計算智能領域的進一步發展非常有用和重要。
-伯明翰計算智能和應用研究卓越中心的Xin Yao
組成計算智能領域的“軟”分析工具已經成熟到足以在不需要廣泛編程經驗的領域專家使用的各種解決方案的基礎上,通常可以與彼此強大地結合。
《計算智能:概念到實現》提供了開發這種解決方案所需的概念和實踐知識。作者專注於進化計算、神經網絡和模糊邏輯,構建了一種思考和使用計算智能的方法,根據他們的豐富經驗,這種方法非常有效。

特點
-通過在早期章節中專注於指導作者方法論的具體概念和範例,清晰而高效地從概念和範例轉向算法和實現技術。
-探討了一些關鍵主題,包括自組織、複雜自適應系統和新興計算。
-詳細介紹了評估計算智能工具性能所需的指標和分析工具。
-以一系列成功應用為例,結束了本書。
-以C和C++為例提供代碼示例。
-在每章結束時提供適合研究生、研究人員和從業人員自學的復習問題和練習題。
-在配套網站上提供了一些可適應實際應用的軟件實現。

目錄
第1章-基礎
第2章-計算智能
第3章-進化計算概念和範例
第4章-進化計算實現
第5章-神經網絡概念和範例
第6章-神經網絡實現
第7章-模糊系統概念和範例
第8章-模糊系統實現
第9章-計算智能實現
第10章-性能指標
第11章-分析和解釋
第12章-案例研究摘要