\u003cp\u003e\u003cb\u003eProvides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThis 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.\u003c/p\u003e \u003cul\u003e \u003cli\u003eDiscusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks\u003c/li\u003e \u003cli\u003eCovers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals\u003c/li\u003e \u003cli\u003eExamines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence\u003c/li\u003e \u003cli\u003eIncludes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems\u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003ci\u003eFundamentals of Computational intelligence\u003c/i\u003e is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.\u003c/p\u003e
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