Semester : SEMESTER 6
Subject : Soft Computing
Year : 2019
Term : MAY
Scheme : 2015 Full Time
Course Code : EE 368
Page:2
F F1158 Pages: 2
PART 0
Answer any two full questions, each carries 10 marks.
15 Describe Machine Learning. Write any three applications. (10)
16 a) What is the role of ‘mutation’ in GA based optimisation process. What is the (5)
usual range of probability value given for mutation process?
b) Explain support vector regression. List any 2 applications. (5)
Describe the steps involved in solving an optimisation problem using Genetic (10)
Algorithm. Illustrate the steps with a suitable example.
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