Course Details
Subject {L-T-P / C} : EE6243 : Soft Computing Techniques { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Ananyo Sengupta
Syllabus
Module 1 : |
Module 1: Optimization Techniques (12 Hours)
|
Course Objective
1 . |
To learn different types of optimization techniques. |
2 . |
To learn structure, training methods and applications of artificial neural networks. |
3 . |
To design fuzzy controllers/fuzzy rule based systems |
Course Outcome
1 . |
At the end of the course, students will be able to
|
Essential Reading
1 . |
Boyd and Vandenberghe, Convex Optimization, Cambridge University Press |
2 . |
S. Haykin, Neural Networks: A Comprehensive Foundation, Pearson |
Supplementary Reading
1 . |
T. J. Ross, Fuzzy Logic with Engineering Application, John Wiley and Sons |
2 . |
V. Kecman, Learning & Soft Computing, Pearson |