In this book the basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a beginner can understand the concepts with minimal effort. The book can be used as a handbook as well as a guide for students of all engineering disciplines, soft computing research scholars, management sector, operational research area, computer applications and for various professionals who work in this area.

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Introduction Chapter 2. The Fat Loss Bible Colpo Pdf File here. Artificial Neural Network: An Introduction Chapter 3. Supervised Learning Network Chapter 4. Associative Memory Networks Chapter 5.

Unsupervised Learning Networks Chapter 6. Special Networks Chapter 7.

Introduction to Fuzzy Logic, Classical Sets and Fuzzy Sets Chapter 8. Classical Relations and Fuzzy Relations Chapter 9. Membership Functions Chapter 10. Defuzzification Chapter 11. Fuzzy Arithmetic and Fuzzy Measures Chapter 12. Fuzzy Rule Base and Approximate Reasoning Chapter 13. Fuzzy Decision Making Chapter 14.

Fuzzy Logic Control Systems Chapter 15. Genetic Algorithm Chapter 16. Hybrid Soft Computing Techniques Chapter 17. Applications of Soft Computing Chapter 18. Soft Computing Techniques Using C and C++ Chapter 19. MATLAB Environment for Soft Computing Techniques Bibliography Sample Question Paper 1 Sample Question Paper 2 Sample Question Paper 3 Sample Question Paper 4 Sample Question Paper 5 Index.