Course Details
Subject {L-T-P / C} : CS6475 : Soft Computing Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Prof. Anup Nandy
Syllabus
List of experiments to be performed using MATLAB/C/C++
1. Implementation of back propagation algorithm for solving face recognition problem
2. Implementation of Radial basis function network
3. Implementation of Probabilistic neural network for classification of facial images
4. Fuzzy Expert System for assessing mortgage applications
5. Implementation of Self-Organizing Map
6. Implementation of binary and real coded GA on real life dataset
7. Implementation of Type II Fuzzy Logic
8. Classification of two inputs XOR using Multilayer perceptron algorithm
9. Implementation of Ant Colony Optimization on real life dataset
10. Implementation of Neuro-Fuzzy-GA methods on real life dataset
Course Objectives
- To know about the different types of programming interface.
- To perform various types of real data set problem in different tools.
Course Outcomes
1. Know about different types of soft computing based algorithms. <br />2. Learn about the how to use various types of soft computing tools. <br />3. Analyze the performance of different soft computing based algorithms.
Essential Reading
- R. Rajasekaran and G. A. Vijayalakshmi Pai, Neural Networks, Fuzzy Logic, and Genetic Algorithms: Synthesis and Applications, Prentice Hall of India
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Supplementary Reading
- . L. Fausett, Fundamentals of Neural Networks, Prentice Hall
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