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Course Detail

Course Name Fundamentals of Soft Computing
Course Code 15EEE343
Program B. Tech. in Electrical and Electronics Engineering
Credits Campus: Bengaluru, Coimbatore, Amritapuri
Year Taught 2015
Year Taught 2016
Year Taught 2017
Year Taught 2018


Unit 1

Basic concepts: Single layer perception, Multi-Layer Perception, Supervised and Unsupervised learning, Back propagation networks, Kohnen’s Self-organizing networks, Hopfield networks, Distance measures.

Unit 2

Fuzzy Sets: Properties, Membership functions, Fuzzy operations, Applications, Classification and Regression tree, Data Clustering Algorithms, Rule-based Structure identification and Regression trees, neuro fuzzy systems.

Unit 3

Simulated Annealing: Evolutionary Computing, Survival of the Fittest, Fitness Computation, Crossover, Mutation, Reproduction, Rank Method, Rank Space methods, Case Studies on applications of soft computing.

Text Books

  • Jang. J. S. R, sun. C. T, Mizutani. E, “Neuro fuzzy and Soft Computing”, Prentice Hall of India Private Limited, 2002.
  • Klir and Yuan, “Fuzzy sets and Fuzzy Logic; Theory and Applications”, Prentice Hall of India Private Limited 2009.


‘Fundamentals of Soft Computing’ is a course offered in B. Tech. in Electrical and Electronics Engineering program at School of Engineering, Amrita Vishwa Vidyapeetham.

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