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LOYOLA COLLEGE (AUTONOMOUS), CHENNAI 600 034
M.C.A. DEGREE EXAMINATION COMPUTER APPLICATIONS
FIFTH SEMESTER NOVEMBER 2017
CA 5955 NEURAL NETWORKS USING MATLAB
Date: 10-11-2017 Dept. No. Max. 100 Marks
Time: 09:00-12:00
Part-A
Answer ALL Questions (10 20
1. What is Recurrent network?
2. Define Sigmoid function.
3. Define the term topology in Neural network.
4. Give an example for Supervised learning.
5. Define System theory
6. Define Digraph.
7. Define Hamming network
8. What is Divide and conquer approach?
9. Define spatial representation.
10. What is signal to symbol transformation?
Part B
Answer ALL Questions 40
11. Explain the Basic concepts of neural network.

Explain is a Hopfield Nets for Optimization Model.
12. Explain Statistical learning in detail.

Write short notes on Meta-DENDRAL algorithm.
12. Explain the principles of Incremental information structure in detail.

Write short notes on Incremental RBCN.
14. Write short notes on Parallel models

Explain Conceptual clustering algorithm in detail.
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15. write short notes on the following neural network in detail
Temporal summation ii) Frequency coding

Write short notes on static neural network model.
Part C
Answer any TWO Questions 20= 40)
16. Explain Single layer and multiple layer perceptron algorithms with an example.
Explain Backpropagation Algorithm in detail.
17. Discuss Knowledge-Based approaches in detail.
Discuss Kohonens's Self organizing nets in detail.
17. Explain Recurrent and complex neural network in detail
Discuss Rule based Approaches in detail.