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 Associatrive 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