The emergence of soft computing tools such as neural networks and genetic algorithms offer a solution. Chapter by chapter, Computational Intelligence in Time Series Forecasting harness the power of intelligent technologies individually and in combination. Application-oriented engineers in process control, manufacturing, industrial production and research centers will find much to interest them in Computational Intelligence in Time Series Forecasting and the book is suitable for training purposes while the industry will also serve as valuable reference material for experimental researchers.