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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.









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Roll No…..
Total No. of Questions: 08
M. Tech. (Sem.-1st)
NEURAL NETWORKS & FUZZY LOGICS
SUBJECT CODE: EC-505
Paper ID: [E0497]

Time: 3 Hrs.                                                        Maximum Marks: 100
Instruction to Candidates:
1.     Attempt any Five questions.
2.     All question carry equal marks.

Q1. Explain the basic model of neuron for artificial neural networks. What are  its shortcomings? Discuss all the models proposed thereafter to overcome these problems.
Q2. Discuss the different learning laws in detail for supervised learning.
Q3. Discuss the ART networks in detail.
Q4. Explain the applications of neural nets in detail.
Q5. What is a linguistic variable? Discuss the properties of membership function of fuzzy set.
Q6. What are different defuzzification methods? Explain the most accurate method with the help of one example.
Q7. Discuss Antilock Breaking System (ABS) in detail.
Q8. Write notes on any two:
(a)  Fuzzy IF-THEN rule
(b) CMAC network

(c)  Kohonen’s feature maps

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