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The book provides the basic concepts and engineering applications of soft computing. Soft computing is the state-of-the-art approach to artificial intelligence, and comprises fuzzy logic, neural networks and probabilistic reasoning techniques. It tries to imitate human reasoning in a computer environment, and deals with problems like imprecision, uncertainty and learning. Soft computing systems are adaptive and intelligent in nature. The book discusses: The basics of soft computing, its importance and applications in various fields with suitable examples. The use, applications, advantages and disadvantages of neural networks. The basic concepts of supervised learning and its applications. The advantages of unsupervised learning. The concepts of genetic algorithms and their applications. The concepts of fuzzy logic, similar techniques, dynamic properties and the internal structure of fuzzy rules.