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Wednesday, September 2, 2015

Question Paper of "NEURAL NETWORKS & FUZZY LOGICS" for M. Tech (ECE) (Sem.-1st), SUBJECT CODE: EC-505, Paper ID [ E0497], PTU Question Paper.










ptupaper.com
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.                                                                 Maximum Marks:100
Instruction to Candidates:
1.     Attempt any FIVE questions out of EIGHT questions.
2.     Each question carry TWENTY marks.

Q1.
(a)  Draw and explain Hardware model of continuous Hopfield network.
(b) Discuss Energy function of continuous Hopfield network.

Q2.
(a)  Explain the architectures of Counter-Propagation Networks and their training Algorithms.
(b) Write in detail about the advantages and disadvantages of artificial neural Networks.
Q3. Explain the architectures of popular self-organizing maps. Derive the training algorithm of Kohonen network. Also explain how SOMs can be used for data compression?
Q4.
(a)  Illustrate with a net Figure, the two basic units of ART network.
(b) Explain the fault tolerance in neural networks.
Q5. Define fuzzy set theory. How fuzzy set are different from Crisp set? Explain with examples. Explain fuzzy union and fuzzy intersection.
Q6.
(a)  What are the industrial applications of Fuzzy logic?
(b) Explain lambda cuts for fuzzy sets and fuzzy relations.
Q7. What is difference between FKBC and PID Control? Explain Fuzzy-c means algorithm with examples.
Q8. Write a short note on any two:
(a)  Defuzzyfication
(b) K-means clustering Algorithm

(c)  Fuzzy membership functions.

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