Course Description
An introduction to Fuzzy Logic and Neural Networks history, applications, and implementations. Fuzzy logic fundamentals, fuzzy sets, types of membership functions, linguistic variables, creation of fuzzy logic rule base, fuzzy logic operations. Fuzzy inference system. Neural network fundamentals, neural type learning process, single layer perceptron. Artificial neural network architectures, training algorithms, genetic algorithms and evolution computing, neuro-fuzzy technology, fuzzy control systems, and applications. Associative memory Hopfield neural networks.