Course Details
Subject {L-T-P / C} : EC4701 : Soft Computing Laboratory { 0-0-2 / 1}
Subject Nature : Practical
Coordinator : Samit Ari
Syllabus
Module 1 : |
1. Implementation of a 2 input AND and OR logic function using perceptron. Start with different set of initial weights and show that there is more than one solution to the problem.
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Course Objective
1 . |
To understand the theory of Soft Computing and its applications. |
2 . |
To understand different learning approaches in neural networks. |
3 . |
To understand different kinds of perceptron mechanisms and RBF. |
4 . |
To develop applications for different real-life use cases. |
Course Outcome
1 . |
CO1: To solve linearly separable problems using universal logic gates
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Essential Reading
1 . |
S. Haykin, Neural Networks - A Comprehensive Foundation, Peasrson Education, India |
2 . |
Jang, Sun and Mizutani, Neuro-Fuzzy and Soft-Computing – A computational approach to learning and machine intelligence, Prentice Hall of India |
Supplementary Reading
1 . |
Satish Kumar, Neural Networks: A Classroom approach, Tata Mcgraw Hill |
2 . |
Martin T. Hagan, Howard B. Demuth, Mark H. Beale, Neural Network Design, Thomson |