Syllabus Soft Computing - (CCS364) UNIT I INTRODUCTION TO SOFT COMPUTING AND FUZZY LOGIC Introduction - Fuzzy Logic - Fuzzy Sets, Fuzzy Membership Functions, Operations on Fuzzy sets, Fuzzy Relations, Operations on Fuzzy Relations, Fuzzy Rules and Fuzzy Reasoning, Fuzzy Inference Systems. (Chapter - 1) UNIT II NEURAL NETWORKS Supervised Learning Neural Networks - Perceptrons - Backpropagation-Multilayer Perceptrons - Unsupervised Learning Neural Networks - Kohonen Self-Organizing Networks. (Chapter - 2) UNIT III GENETIC ALGORITHMS Chromosome Encoding Schemes - Population initialization and selection methods - Evaluation function - Genetic operators - Cross over - Mutation - Fitness Function - Maximizing function. (Chapter - 3) UNIT IV NEURO FUZZY MODELING ANFIS architecture - hybrid learning - ANFIS as universal approximator - Coactive Neuro fuzzy modeling - Framework - Neuron functions for adaptive networks - Neuro fuzzy spectrum - Analysis of Adaptive Learning Capability. (Chapter - 4) UNIT V APPLICATIONS Modeling a two input sine function - Printed Character Recognition - Fuzzy filtered neural networks - Plasma Spectrum Analysis - Hand written neural recognition - Soft Computing for Color Recipe Prediction. (Chapter - 5)