Soft Computing Applications (4-0-0)
Course Contents:

Introduction to soft computing: Neural Networks, Fuzzy Sets, Genetic Algorithm, Rough sets and Probabilistic reasoning. Applications of soft computing in pattern recognition, control systems and image processing. Hybrid systems - Applications of Fuzzy -neural, Neuro-evolutionary and Rough-fuzzy-neural approaches. Knowledge discovery in databases. Data mining and web mining using soft computing techniques. Soft computing approaches to information systems project management.

Prerequisite: None

Lecture Hours:
Monday 09:30-10:25
Tuesday 17:30-18:25
Wednesday 08:30-09:25
Thursday 09:30-10:25


Course Details

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Class Test 1 Question Paper

Mid-Sem Exam Question Paper

End-Sem Exam Question Paper

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