Subject Code: MA7L007 Subject Name:  Soft Computing L-T-P: 3-1-0 Credit:4
Pre-requisite(s): Nil
Introduction to Soft Computing, Components of Soft Computing, Importance of Soft Computing, Fuzzy Set Theory - Definition, Different types of fuzzy set Membership Functions, Fuzzy Set theoretic operations, Fuzzy Rules and Fuzzy Reasoning, Fuzzy Inference Systems, GA, Simulated Annealing, Particle swarm  optimization, Neural Networks- Supervised Learning, Unsupervised Learning, Hybrid Systems - Neuro Fuzzy Modeling, Fuzzy c-means, Applications in Image Processing, Neuro-fuzzy control, Data Mining.
Implementation of the problems using MATLAB.
Text books:
  1. Jang J.S.R. , Sun  C.T. and Mizutani E. Neuro Fuzzy and Soft Computing , Amazon
  2. Haykin. An Introduction to Neural Networks
Reference Books:
  1. Klir and Yuan, Fuzzy Sets and Fuzzy Logic
  2. Goldberg. Genetic Algorithms
  3. Kennedy J., Eberhart R.C. and Shi Y. Particle Swarm Intelligence, Morgan Kaufman Publisher
  4. Maurice Clerce. Particle swaram Optimization,  ISTE
  5. Olsson A. E. Particle swarm Optimization