'Soft Computing' is a course offered in B. C. A. (Bachelor of Computer Applications) program at Amrita Vishwa Vidyapeetham.
Unit 1
Basic Concepts - Single Layer Perception - Multilayer Perception - Supervised and Unsupervised Learning - Back Propagation networks - Kohnen’s self-organizing networks - Hop field networks - Distance measures.
Unit 2
FUZZY sets, properties, Membership functions Fuzzy operations, Applications.
Unit 3
Classification and Regression Trees - Data Clustering Algorithms - Rule based Structure identification.
Unit 4
Neuro-Fuzzy Systems.
Unit 5
Evolutionary Computation - Survival of the Fittest - Fitness Computation – Crossover – Mutation – Reproduction - Rank space Method. Case Studies: Applications of soft computing.
- Laurence Fausett,”Fundamentals of Neural Networks”, Seventh Edition, Dorling Kindersley (India) P. Ltd 2006.
- Satish Kumar - “Neural Networks – A Classroom Approach”, Tata McGraw-Hill, 2004.
- Timothy J.Rose, ”Fuzzy Logic with Engineering Applications”, Third Edition, John Wiley, 2010.
- J.S.R Jang,C.T Sun and E.Mizutani, ”Neuro-Fuzzy and Soft Computing”, Second Edition, Prentice Hall of India, 2002.
- D.E.Goldberg ”Genetic Algorithms in search, optimization and Machine learning”, Second Edition, Addison Wesley, 2007.
Related Academic Courses
B. Tech. in Civil Engineering, B. Tech. in Aerospace Engineering, B. Tech. in Chemical Engineering, B. Tech. in Mechanical Engineering, B. Tech. in Computer Science and Engineering
