Annamalai University 2004 M.Phil Computer Science Neural Networks and Fuzzy Systems - Question Paper
Friday, 15 March 2013 01:10Web
M.Phil. DEGREE exam – May 2004
(COMPUTER SCIENCE)
(PAPER - III)
132 - Neural Networks and Fuzzy Systems
Time: three Hours
Maximum: 100 Marks
PART - A (5 x eight = 40)
ans ALL ques..
All ques. carry equal marks.
1. (a) What is a neural network? explain the basic concepts of neural networks,
(OR)
(b) What is delta rule ? -Discuss.
2. (a) What do you mean by' simulated annealing ? -Discuss.
(OR)
(b) discuss an algorithm of generalized Hop - filed network.
3. (a) Write four short note on counter propagation networks.
(OR)
(b) With a neat diagram provide a general description of ART network.
4. (a) What is cognitron ? -Discuss.
(OR)
(b) explain neo-cognitron.
5. (a) Compare Fuzzy and crisp-sets.
(OR)
(b) List the applications of Fuzzy Logic. explain any 1 in detail.
PART - B (3 x 20 = 60)
ans any 3 ques..
All ques. carry equal marks.
6. What is learning? What do you mean by supervised and unsupervised learning? discuss back propagation algorithm in detail.
7. (a) Write a short note on Boltzmann machines.
(b) What do you understand by BAM ? - explain.
8. (a) Draw a flow - chart for the ART-z training mechanism.
(b) With a neat diagram explain ART - I model.
9. What do you mean by optical neural networks? explain the architecture and application of optical neural networks.
10. (a) Write a short note on Fuzzy relations.
(b) explain the application of Fuzzy logic in trend recognition.
Earning: Approval pending. |