ARTIFICIAL NEURAL NETWORKS ECE JNTU previous years question papers

ARTIFICIAL NEURAL NETWORKS
( Common to Electronics & Communication Engineering, Electronics &
Instrumentation Engineering, Bio-Medical Engineering and Electronics &
Telematics)

Time: 3 hours Max Marks: 80

Answer any FIVE Questions

All Questions carry equal marks

1. (a) What are Artificial neural networks? What are their characteristics?
(b) Explain the historical development of Artificial neural networks? [16]
2. What are the basic learning laws? Explain the weight updation rules in each learning law. [16]

3. (a) Discuss adaptive filtering technique in single layer perceptron with its algorithms and convergence concept.
(b) Write about the working of LMS Algorithm with a numerical example. Assume suitable input and weight matrix. [8+8]

4. Draw and explain architectural graph of a multi layer perceptron with two hidden layers. [16]

5. State and explain the Ex-OR problem? Also explain how to overcome it. [16]

6. Write solution of XOR problem using Radial Basis Function network. [16]

7. (a) What is adaptive vector quantization? What is ‘learning vector quantization’?
(b) Explain the difference between pattern clustering and feature mapping.[10+6]

8. How can an Artificial Neural Network be applied in business? Give few applications.
[16]

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