GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER-VII (OLD) EXAMINATION — WINTER 2018
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Subject Code: 173101 Date: 29/11/2018
Subject Name: Soft Computing
Time: 10:30 AM TO 01:00 PM Total Marks: 70
Instructions:
- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks.
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Q.1 (a) What is unsupervised learning? Discuss Kohonen’s self organizing networks in detail 07
Q.1 (b) Explain the Hebbian Learning Rule 07
Q.2 (a) Enlist and discuss different fuzzy set theoretic operations with example(s). 07
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Q.2 (b) What is meant by hybrid system and discuss its various types. 07
OR
Q.3 (a) Explain Roulette-wheel Selection and Rank Selection with example. 07
Q.3 (b) How TSP can be solved using GA. Describe operation performed in different phases using suitable examples. 07
Q.4 (a) Compare genetic neural network with ANN 07
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OR
Q.4 (b) Explain different selection methods for GA 07
Q.5 (a) Discuss Adaptive Neuro-Fuzzy Inference Systems 07
Q.5 (b) Describe Inductive Concept Learning 07
Q.6 (a) What do you mean by hybrid system? What is the need of such system(s), explain in brief. Also enlist and explain types of hybrid system. 07
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OR
Q.6 (b) Explain Neuro-Fuzzy Systems for Pattern Recognition 07
Q.7 (a) Describe Rough Approximation 07
Q.7 (b) Discuss Color recipe prediction as an application of computational intelligence in soft computing. 07
Q.8 (a) Write detailed note on ‘GA based weight optimization’ 07
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OR
Q.8 (b) Explain Mamdani Fuzzy Models with suitable example 07
Q.9 (a) Explain architecture of Adaptive Neuro-Fuzzy Inference Systems 07
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