STUDY - Soft Computing Techniques
Introduction to Genetic Algorithm, Genetic Operators and Parameters, Genetic Algorithms in Problem Solving,
Theoretical Foundations of Genetic Algorithms, Implementation Issues.
Neural Model and Network Architectures, Perceptron Learning, Supervised Hebbian Learning,
Backpropagation, Associative Learning, Competitive Networks, Hopfield Network, Computing with Neural
Nets and applications of Neural Network.
Introduction to Fuzzy Sets, Operations on Fuzzy sets, Fuzzy Relations, Fuzzy Measures, Applications of Fuzzy
Set Theory to different branches of Science and Engineering.