SOFT COMPUTING BOOK
This book covers the entire gamut of soft computing, including fuzzy logic, rough sets, artificial neural networks, and various evolutionary algorithms. It offers a. 1 Introduction Key Concepts Ant colony, Artificial neural networks (ANN), Belief propagation, Boundary regions, Curve fitting, Darwin, Evolutionary search, Fuzzy . Soft computing is a branch of computer science that deals with a family of Soft Computing: Neuro-Fuzzy and Genetic Algorithms and millions of other books.
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Find Soft computing books online. Get the best Soft computing books at our marketplace. PDF | This book provides a comprehensive knowledge of the fundamental concepts and techniques in soft computing, which is a burning topic. Artificial Intelligence and Soft Computing for Beginners by Anindita Das: The course of Artificial Intelligence is taken by all engineering undergraduate and.
Fuzzy Sets 2. A Review 2. Probability 2.
Fuzzy Logic 3. A Review 3.
Fuzzy Inference Systems 4. Rough Sets 5.
Artificial Neural Networks: Basic Concepts 6. Pattern Classifiers 7. Pattern Associators 8.
Competitive Neural Nets 9. Backpropagation Her current research areas include interval analysis, fuzzy set theory, artificial neural networks, interval and fuzzy neural networks, functional link neural networks and structural system identification problems.
Computer Science Communication Networks. Free Preview.
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About this Textbook This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing.
Show all. Table of contents 14 chapters Table of contents 14 chapters Intervals Chakraverty, Snehashish et al.
Pages Fuzzy Sets Chakraverty, Snehashish et al. Fuzzy Numbers Chakraverty, Snehashish et al. Fuzzy Relations Chakraverty, Snehashish et al.
Introduction to Soft Computing
Fuzzy Functions Chakraverty, Snehashish et al. Fuzzy Differentiation and Integration Chakraverty, Snehashish et al.
Defuzzification Chakraverty, Snehashish et al.Defuzzification Chakraverty, Snehashish et al. It explores two major concepts of soft computing: This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing.
Recurrent Neural Networks and Soft Computing
Applications of Generalized Neuron Models. This book outlines these methods and applies them to a range of difficult engineering problems, including applications in computational mechanics, earthquake engineering, and engineering design.
New applications in recurrent neural networks are covered by this book, which will be required reading in the field. A Review 2. Mohamed Mysara New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Rough Sets 5.
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