Description
This book is meant for a wide range of readers, especially college and university students wishing to learn basic as well as advanced processes and techniques in Soft Computing. It can also meant for Programmers who may be involved in programming based on the soft computing applications. Modern aspects of soft computing have been introduced from the first principles and discussed in an easy manner, So that a beginner can grasp the concept of neural networks fuzzy, genetic algorithm and probabilistic reasoning, each chapter contains solved example problems and exercise problems.
Table of Contents
Chapter 1: Fundamentals of Neural Networks
Chapter 2: Perceptrons
Chapter 3: Backpropagation
Chapter 4: Adaline and Madaline
Chapter 5: Supervised and Unsupervised Learning
Chapter 6: Counter Propagation Network
Chapter 7: Adaptive Resonance Theory
Chapter 8: Neocognitron
Chapter 9: Bidirectional Associative Memory
Chapter 10: Case Studies
Chapter 11: Introduction to Fuzzy System
Chapter 12: Fuzzy Logic
Chapter 13: Classical Sets and Fuzzy Sets
Chapter 14: Fuzzy Relations, Fuzzy Graphs and Fuzzy Arithmetic
Chapter 15: Fuzzy If-then Rules
Chapter 16:Applications of Fuzzy Logic
Chapter 17: Neuro-fuzzy Systems
Chapter 18: Genetic Algorithm
Chapter 19: Probability Theory
Chapter 20: Random Variable and Mathematical Expectation
Chapter 21: Theoretical Distributions
Chapter 22:Fuzzy Logic and Probability Theory
Author
Ikvinderpal Singh
Ikvinderpal Singh, is Lecturer of P.G. Deptt. Of Computer Science & Applications, Khalsa College, Amritsar which is a premier institute in North India. He obtained his MCA with distinction from Guru Nanak Dev University, Amritsar. He has always been excellence right from his student carrer. He has written five books. He brought name for himself when he topped the college in B.Sc. His other areas of interest include Fuzzy systems, digital electronics and java programming.
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