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

Download GTU (Gujarat Technological University Ahmedabad) B.Tech/BE (Bachelor of Technology/ Bachelor of Engineering) 2020 Winter 7th Sem 2172009 Soft Computing Applications Previous Question Paper

Seat No.: ________
Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE- SEMESTER?VII (NEW) EXAMINATION ? WINTER 2020
Subject Code:2172009 Date:28/01/2021
Subject Name:Soft Computing Applications
Time:10:30 AM TO 12:30 PM Total Marks: 56
Instructions:
1. Attempt any FOUR questions out of EIGHT questions.

2. Make suitable assumptions wherever necessary.

3. Figures to the right indicate full marks.


MARKS
Q.1 (a) With the suitable example define & explain the supervised learning method.
03

(b) With the suitable example define & explain the unsupervised and learning method.
04

(c) Define Soft Computing. Explain its importance. How is Soft Computing different
07
from Hard Computing?


Q.2 (a) List advantages of Mamdani Method.
03

(b) List advantages of Sugeno Method.
04

(c) State and explain various methods of de-fuzzification.
07




Q.3 (a) Define uncertainty and vagueness. Explain concept of fuzziness and membership
03
function.

(b) Differentiate between classical relations vs Fuzzy relation.
04

(c) Explain Noise cancellation using neural networks.
07




Q.4 (a) Define the Cartesian product of two fuzzy sets with the help of an example.
03

(b) What is artificial neural network? Draw the architecture of basic neural network.
04

(c) Explain Mc Culloch and Pitt's model.
07



Q.5 (a) Give the advantages of Neural Network.
03

(b) Discuss about the Demorgan's law for the fuzzy sets. Say whether it is similar to
04
that of classical sets.

(c) Explain Applications of fuzzy logic in control & automation.
07



Q.6 (a) Define fuzzy inference system. Draw its working diagram.
03

(b) Explain the difference between randomness and fuzziness.
04

(c) Explain Trajectory prediction using neural networks.
07



Q.7 (a) Write short on NETTALK.
03

(b) Write short note on MEDALINE.
04

(c) Explain Fuzzy based robot navigation.
07



Q.8 (a) Explain concept of Adaptive Resonance Theory.
03
(b) Write short note on ADALINE
04
(c) Explain neural network in robot navigation.
07

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