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Posted Date: 07 May 2008 Posted By: vijay kumar Member Level: Diamond
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2007 Alagappa University M.Phil Computer Science NEURAL NETWORK AND FUZZY LOGIC Question paper
Time : Three hours Maximum : 100 marks
Answer any FIVE questions.
All questions carry equal marks.
1. (a) Explain in detail about learning curve and list out the limitations of perceptrons.
(b) Discuss a Nonlinear model of a Neuron with suitable diagram.
2. (a) Describe in detail about modeling the single neuron.
(b) Explain the perceptron-learning algorithm in detail.
3. (a) Describe BAM architecture with neat diagram.
(b) Write short note on Boltzmann’s Training.
4. Describe in detail about the back propagation network.
5. (a) Explain the architecture and implementation of ART.
(b) Discuss in briefly the Optical Neural Network.
6. Explain the following :
(a) Measures of fuzzy events.
(b) Operations of fuzzy relations.
7. Write a note on Fuzzy logic and distinguish it with classical logic.
8. Discuss on fuzzy databases and information retrieval systems.
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