OR Code No.320558 III-B.Tech. II-Semester Supplementary Examination December 2002/January 2003 NEURAL NETWORKS (Computer Science and Engineering) Max.Marks:70 Answer any Five questions All questions carry equal Marks ---

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Time:3 hours

Draw and explain the three layer networks that emulates the ‘XOR’ function.

2.

What do you understand by Training Multilayer Networks?

3.

A second Major are where neural networks are often applied is Image processing Recognition. Explain with illustration.

4.

Hopfield network could be used to perform error correction, although in fact, it is not very good. Explain.

5.

Explain the Kohonen’s method of unsupervised learning and ordered Maps.

6.

Why Neural networks are worth pursuing? Explain complex multilayered structure with suitable example.

7.

Explain any Two: a) Binary Neural Chips. b) Synchronous RAM-Neuron nets. c) Universal Two-layer perceptrons.

8.

Why is the energy of the all-zero state always  in any net of any size? Use this fact to argue that at least one threshold must be negative for the all-zero state not to be a stable well.

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Code No.320558 III-B.Tech. II-Semester Supplementary Examination ...

Draw and explain the three layer networks that emulates the 'XOR' function. ... Hopfield network could be used to perform error correction, although in fact, it is.

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