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