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Code No. 420453

IV-B.Tech- II Semester Supplementary Examinations July 2003 NEURAL NETWORKS (Electronics and Communication Engineering) Max. Marks: 70 Answer any Five questions All questions carry equal marks ---

b)

Explain the functional units of a biological neuron. 1 Consider the logistic signal function S ( x)  , C>O. Solve the logistic signal He  cx function S(x) for the activation x.

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1. a)

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Time: 3 hours

Explain with a neat sketch working of a feed forward net. What are the different types of training methods? Explain.

3. a) b)

Differentiate between supervised and unsupervised learning. Explain back propagation algorithm and the stopping criteria used in this method.

4. a) b)

Explain the working of Kohonen’s self-organizing map. What is Grossberg layer?

5.

Explain how Hopfield network is useful to find the solution of constraint satisfaction problem. Give suitable example.

6.

Explain the ART architecture and the processing algorithm

7.

Describe how artificial neural networks are used in image processing.

8.

Write short notes on the following: a) Boltzmann’s machine b) Hebbian learning.

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2. a) b)

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II Semester Supplementary Examinations July 2003 NEURAL ...

NEURAL NETWORKS · (Electronics and Communication ... Explain how Hopfield network is useful to find the solution of constraint · satisfaction problem.

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