mca Syllabus

Computer Society Press
Soft Computing
Code: CS 801B
Contact: 3L
Credits: 3
Allotted Hrs: 39 L

Introduction to artificial neural network                                                                [10L
Neural Networks: History, overview of biological Neuro-system, Mathematical Models of Neurons, ANN architecture, Learning rules, Learning Paradigms-Supervised, Unsupervised and reinforcement Learning, ANN training Algorithmsperceptions, Training rules, Delta, Back Propagation Algorithm, Multilayer Perceptron Model, Applications of Artificial Neural Networks. Competitive learning networks, Kohonen self organizing networks, Hebbian learning; Hopfield Networks, Associative Memories, The boltzman machine; Applications.

Fuzzy Logic                                                                                                               [12L
Fuzzy Logic: Introduction to Fuzzy Logic, Classical and Fuzzy Sets: Overview of Classical Sets, Membership Function, Fuzzy rule generation. Operations on Fuzzy Sets: Compliment, Intersections, Unions, Combinations of Operations, Aggregation Operations. Fuzzy Arithmetic: Fuzzy Numbers, Linguistic Variables, Arithmetic Operations on Intervals & Numbers, Lattice of Fuzzy Numbers, Fuzzy Equations.Fuzzy Logic: Classical Logic. Genetic algorithms(Gas),Evolution strategies(Ess),Evolutionary programming(EP),Genetic  
Programming(GP),Selecting,crossover,mutation,schema analysis,analysis of selection algorithms;convergence;Markov & other stochastic models.                                     [10L]

Other Soft computing approaches                                                                             
Simulated Annealing, Tabu Search, Ant colony based optimisation, etc.                  [7L

Text:
1. “Neuro-Fuzzy and Soft computing”, Jang, Sun, Mizutani, Pearson
2. “Neural networks: a comprehensive foundation”, Haykin, Pearson
3. “Genetic Algorithms”, Goldberg, Pearson
4. “Fuzzy Sets & Fuzzy Logic”, G.J. Klir & B. Yuan, PHI.
Reference:
1. “An Introduction to Neural Networks”, Anderson J.A., PHI, 1999.
2. “Introduction to the Theory of Neural Computation”, Hertz J. Krogh, R.G. Palmer, Addison-Wesley, California, 1991.
3. “An Introduction to Genetic Algorithm”, Melanie Mitchell, PHI, 1998.
4. “Neural Networks-A Comprehensive Foundations”, Prentice-Hall International, New Jersey, 1999.
5. “Neural Networks: Algorithms, Applications and Programming Techniques”, Freeman J.A. & D.M. Skapura, Addison Wesley, Reading, Mass, (1992).