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I BICSE-003 1 B.Tech.... VlEP -COMPUTER SCIENCE AND ENGINEERING (BTCSVI) Term-End Examination 0010b June, 2016
BICSE-003 NEURAL NETWORK
Time hours Maximum Marks: 70
Note: Answer any se,ven questions. All questions carry equal marks. Assume the missing data, if any.

1. What is a multilayer feed forward neural network? Explain with a network diagram. 5

Write down the algorithm steps for Boltzmann machine learning algorithm. 5

2. What is a neural network? State the use of learning. 5

What are the different classes of network architectures 5

3. What is supervised learning and unsupervised learning? Differentiate both of them. 10

4. Describe the major components of Adaptive Neuro-Fuzzy Inference Systems (ANFIS). 5

How is Fuzzy logic useful in neural networking? 5

5. Define Pocket algorithm. Write down the steps of Pocket algorithm. 5

Write down the steps for Back Propagation algorithm. 5

6. What are the applications of neural networks Explain with the help of any examples. 10

7. Explain the architecture of the full counter propagation neural networks. 5

Briefly write the points for adaptive resource theory. 5

8. Explain the Travelling Salesman problems using Hopfield neural network models. 10

9. What is gradient descent and how is it explained using Hopfield network models? 5

Write the algorithm steps for Simulated Annealing. 5

10. Write short notes on any two of the following: 2x5=10

Comer Isolation Problem

Marchand's Algorithm

Madalines