Introduction to Computational Intelligence
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This introduction presents an overview of key concepts discussed in the subsequent chapters of this book. This book offers the only systematic treatment of the entire field of computational intelligence (CI) from the perspectives of the experts who have guided peer-reviewed seminal research published in the toptier journals in the area of CI. The described theories and techniques allow you to create solutions to problems in pattern recognition, control, automated decision making, optimization, statistical modeling, and many other areas. The chapter covers basic and advanced material in neural networks, fuzzy systems, and evolutionary computation. It provides fundamental material in the diverse and fast growing area of CI and gives you a strong fundamental understanding of its basic concepts. The chapter offers exercises to test your knowledge and explores interesting research problems. The book describes each of the three main topics with basic chapters upfront, which cover theory, framework, and algorithms.