B.E. 4/4 (EEE/Inst.) II-Semester (Main) Examination, April / May 2013
Time : 3 Hours
Subject : Neural Networks (Elective-III)
Max. Marks: 75
Note: Answer all questions of Part - A and answer any five questions from Part-B. PART – A (25 Marks) 1. Compare various neural Network architecture.
(3)
2. What is error correction learning and competitive learning?
(3)
3. How knowledge is represented in Neural Network?
(3)
4. What are the node properties ?
(2)
5. Does perception requires supervised learning ? Justify the answer.
(2)
6. What is linear separability?
(2)
7. What is meant by continuous Hopfield Net?
(2)
8. What are the applications of ANN?
(3)
9. What is AXON?
(2)
10. How Neural Networks are functionally classified?
(3)
PART – B (50 Marks) 11. Describe the different models of Neural Networks with diagrams. 12.(a) What is an activation function ? List few activation functions. (b) What is Hybrid Intelligence? How it is used in Neural Network design? 13. Explain the learning of NNW and output calculation with example.
(10) (5) (5) (10)
14. Explain Back propagation algorithm. Discuss the factors that influence the back propagation algorithm. (10) 15.(a) Differentiate supervised and unsupervised learning. (b) How information processing is done in human brain? 16. Use a BAM to store three pairs of vectors as follows. Original vector A1=[1, -1,1] B1=[-1, 1, 1, -1] A2=[-1, 1,1]
B2=[1, -1, 1, 1]
A3=[1, 1,1]
B 3=[-1, 1, 1, -1]
(3) (7) (10)
(i) Specify the networks structure. (ii) Examine whether the BAM can Accurately retrieve the associated vector given each of the original vector. 17. (a) Explain Kohonen algorithm. (b) Explain Boltzman's machine algorithm.
Vasavai CE B.E EEE 4th Year Apr 2013 Neural Networks.pdf ...
5. Does perception requires supervised learning ? Justify the answer. (2). 6. What is linear separability? (2). 7. What is meant by continuous Hopfield Net? (2). 8.
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