Fundamentals of computational intelligence : neural networks, fuzzy systems, and evolutionary computation
- 作者： Keller, James M., author.
- 其他作者：
- 其他題名：
- IEEE series on computational intelligence.
- 出版： Hoboken, New Jersey : IEEE Press/Wiley
- 叢書名： IEEE Press series on computational intelligence
- 主題： Expert systems (Computer science) , Computational intelligence. , Electronic books.
- ISBN： 9781119214403 (electronic bk.) 、 1119214408 (electronic bk.) 、 9781119214359 (electronic bk.) 、 1119214351 (electronic bk.) 、 9781119214366 (electronic bk.) 、 111921436X (electronic bk.) 、 9781119214342 、 1119214343
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Includes bibliographical references and index.
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讀者標籤：
- 系統號： 005391750 | 機讀編目格式
館藏資訊
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. -Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks -Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals -Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence -Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.