Soft computing has changed the way we think about artificial intelligence. Its biology-inspired approach to intelligent systems design combines approximate reasoning, artificial neural networks and evolutionary computing to solve real-world problems where conventional "crisp" computing techniques may have limitations.If you are studying soft computing, intelligent machines or intelligent control then this book will give you the theory you need together with a vast array of examples and practical material, providing you with a thorough grounding in this exciting field. Practising professionals will find the introductory material, application-oriented techniques and case studies especially helpful.Key features Theory meets practice through numerous examples and solved real-world problems. Comprehensive case studies demonstrate a wide range of applications across science and engineering. Extensive coverage of intelligent systems design including intelligent control and time series prediction.Fakhreddine Karray is Professor of Systems Design Engineering and Electrical and Computer Engineering at the University of Waterloo, Canada. He was Program Chair of the 2002 IEEE International Symposium on Intelligent Control, is Associate Editor of four related journals and writes extensively in the area.Clarence de Silva is Professor of Mechanical Engineering at the University of British Columbia, Vancouver, Canada. He is Editor-in-Chief of the International Journal of Control and Intelligent Systems, writes extensively in the area and has served as a consultant for IBM and Westinghouse in the US.