Course Details
Subject {L-T-P / C} : ME6072 : Soft Computing Laboratory - II { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Prof. Jonnalagadda Srinivas
Syllabus
1. Any two Supervised neural network models for character recognition
2. Neural network training with modified back propagation laws
3. Adaptive neuro fuzzy inference system (ANFIS) implementation with an example regression problem
4. New meta-heuristic techniques such as PSO, HSO etc.
Course Objectives
- To enhance the program development skills with updated AI knowledge
- To acquaint with the non-conventional optimization methods
- To employ the toolboxes of Matlab and LabVIEW
- To develop interactive codes required for the project works
Course Outcomes
This laboratory course gives advanced concepts needed for an innovative project work
Essential Reading
- S.N.Sivanandam and S.N.Deepa, Principles of soft computing, Wiley , 2019
- , ,
Supplementary Reading
- Pratihar,, Soft computing-fundamentals and applications,, Narosa , 2015
- , ,