Outline of Course
C9-R4:SOFT COMPUTING
S.No
Topic
Duration (Hrs)
1
Introduction to Soft Computing
06
2
Introduction to Genetic Algorithm
06
3
Genetic Modeling
08
4
Regression and Optimization
08
5
Neuro-Fuzzy Modeling
08
6
Advances Neuro-Fuzzy Modeling
08
7
Neuro-Fuzzy Control
08
8
Other Hybrid System
08
Lecture =60
Practical =60
Total class =120
BOOKS RECOMMENDED FOR READING AND REFERENCE
MAIN READING
1. Jang J S R, Sun C T, Mizutani, "Neuro-Fuzzy and Soft Computing", Pearson Education Edition, 1997, Reprint 2007.
2. Akerker and Sajja, MS and Jones and Bartlett, MA, USA, "Knowledge-Based Systems",2009.
2. Ian Cloete and Jacek Zurada, "Knowledge Based Neuro-Computing" University Press, Massachusetts Institute of Technology, USA, 2002.
2.Oscar Cordon, Francisco Herrera, Frank Hoffmann, Luis Magdalena, "Genetic Fuzzy Systems", Word Scientific Publishing Ltd. , 2001.

 

SUPPLEMENTARY READING
  • Partihar D K, "Soft Computing" , Narosa Publication, 2008.
  • Sivanandam S N and Deepa S N, "Principles of Soft Computing", Wiley India Edition,2007
  • Rushell and Norvig, "Modern Approach to Artificial Intelligence", Prentice Hall of India Ltd., 2006
  • Rich and Knight, "Artificial Intelligence", Tata McGraw Hill Publishing Co. Ltd. 21st Indian Reprint, 2001
  • Anupam Shukla, Ritu Kala, Rahul Kala, "Real Life Applications of Soft Computing", CRC Press.

(*) Latest edition of the books need to be procured.