M Tech (Computer Science and Applications):Soft Computing and ApplicationsThapar University
Price on request
Introduction of Soft Computing: Introduction to soft computing techniques, Basic concepts of fuzzy logic, Artificial neural networks, Genetic algorithm and probabilistic reasoning, Application areas of soft computing techniques.
Fuzzy Systems: Definition and basic operations on fuzzy sets, Membership functions, Fuzzy Petri Net(FPN), Forward and backward reasoning in FPN, Fuzzy sets applications: Approximation reasoning, Fuzzy controllers and cluster Analysis.
Neural Networks: Mathematical essence and structures of artificial neural networks, Learning performance and enhancement, Basis function networks, Self-Organizing maps, Application in forecasting and classification, Basic structure of Fuzzy Neural Networks.
Genetic Algorithms: Introduction of Genetic Algorithms, Mathematical Foundations of Genetic Algorithms, Implementation of Genetic Algorithms, Applications of Genetic Applications
Laboratory Work: The laboratory work will be based on implementation of Algorithms for Fuzzy Sets, Neural Networks and Genetic Algorithms.