This textbook explains Neural Networks, Fuzzy Logic and Genetic Algorithms from a unified engineering perspective. It combines the three techniques to minimize their weaknesses and enhance their strengths. The authors have discussed the fundamental ideas and practical methods of the three techniques by using numerous examples. The book will be an ideal text for the students of Computer Science, Information Technology, Electrical and Electronics and Communication Engineering, studying Soft Computing at the undergraduate level.

Key Features
— Provides an excellent, but lucid introduction to Neural Networks and Artificial Neural Networks
— Provides simple approach to knowledge-based systems for problem solving by combining methods of Neural Networks, Fuzzy Systems and Genetic Algorithms