Download GTU B.Tech 2020 Winter 7th Sem 2172009 Soft Computing Applications Question Paper

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Subject Code: 2172009
GUJARAT TECHNOLOGICAL UNIVERSITY

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BE- SEMESTER-VII (NEW) EXAMINATION - WINTER 2020
Subject Name: Soft Computing Applications
Time: 10:30 AM TO 12:30 PM
Instructions:
Attempt any FOUR questions out of EIGHT questions.

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1. Make suitable assumptions wherever necessary.
2. Figures to the right indicate full marks.

Q.1
(a) With the suitable example define & explain the supervised learning method.

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(b) With the suitable example define & explain the unsupervised learning method.
(c) Define Soft Computing. Explain its importance. How is Soft Computing different from Hard Computing?

Q.2
(a) List advantages of Mamdani Method.

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(b) List advantages of Sugeno Method.
(c) State and explain various methods of de-fuzzification.

Q.3
(a) Define uncertainty and vagueness. Explain concept of fuzziness and membership function.

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(b) Differentiate between classical relations vs Fuzzy relation.
(c) Explain Noise cancellation using neural networks.

Q.4
(a) Define the Cartesian product of two fuzzy sets with the help of an example.

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(b) What is artificial neural network? Draw the architecture of basic neural network.
(c) Explain Mc Culloch and Pitt’s model.

Q.5
(a) Give the advantages of Neural Network.

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(b) Discuss about the Demorgan’s law for the-fuzzy sets. Say whether it is similar to that of classical sets.
(c) Explain Applications of fuzzy logic in control & automation.

Q.6
(a) Define fuzzy inference system.-Draw its working diagram.

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(b) Explain the difference between randomness and fuzziness.
(c) Explain Trajectory prediction using neural networks.

Q.7
(a) Write short on NETTALK.

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(b) Write short note on MEDALINE.
(c) Explain Fuzzy based robot navigation.

Q.8
(a) Explain concept of Adaptive Resonance Theory.

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(b) Write short note on ADALINE
(c) Explain neural network in robot navigation.

Date: 28/01/2021
Total Marks: 56

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MARKS
Q.1 (a) 03
(b) 04
(c) 07

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Q.2 (a) 03
(b) 04
(c) 07
Q.3 (a) 03
(b) 04

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(c) 07
Q.4 (a) 03
(b) 04
(c) 07
Q.5 (a) 03

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(b) 04
(c) 07
Q.6 (a) 03
(b) 04
(c) 07

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Q.7 (a) 03
(b) 04
(c) 07
Q.8 (a) 03
(b) 04

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(c) 07