UNIT I :
Introduction to Soft Computing,
ARTIFICIAL NEURAL NETWORKS
Basic concepts – Single layer perception – Multilayer Perception – Supervised and Unsupervised learning – Back propagation networks – Kohnen’s self-organizing networks – Hopfield network.
Fuzzy sets, Fuzzy Relations and Fuzzy reasoning, Fuzzy functions – Decomposition – Fuzzy automata and languages – Fuzzy control methods – Fuzzy decision making.
NEURO – FUZZY MODELING
Adaptive networks based Fuzzy interface systems – Classification and Regression Trees – Data clustering algorithms – Rule based structure identification – Neuro-Fuzzy controls – Simulated annealing – Evolutionary computation
Survival of the Fittest – Fitness Computations – Cross over – Mutation – Reproduction – Rank method – Rank space method.
APPLICATION OF SOFT COMPUTING
Optimiation of traveling salesman problem using Genetic Algorithm, Genetic algorithm based Internet Search Techniques, Soft computing based hybrid fuzzy controller, Introduction to MATLAB Environment for Soft computing Techniques.