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Roll No…….
Total No. of Questions: 08
M. Tech.
(ECE) (Sem.-1st)
NEURAL
NETWORKS & FUZZY LOGIC
Subject
Code: EC-505
Paper
ID: [E0497]
Time: 3 Hrs. Max.
Marks: 100
Instruction to Candidates:
1.
Attempt any FIVE questions out of EIGHT questions.
2.
Each question carry TWENTY marks.
1.
Explain the VLSI implementation of Neural Networks.
2.
(a) Discuss salient features of PID Control
(b)
Distinguish between supervised and unsupervised learning.
3.
Explain in detail the various linear and nonlinear activation functions
used in ANN.
4.
(a) Draw and explain the architecture of Back Propagation Network(BPN).
(b)
Explain CMAC Networks.
5.
Explain Anti Breaking System (ABS) using Fuzzy Logic.
6.
Explain various Optimization Techniques.
7.
Compare Mamdani and Sugeno Model in Fuzzy System Design.
8.
Write short notes on:
(a) Hebbian
Learning
(b) Difference
between Auto associative & Hetero associative memories
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