Or21dsce-artificial Neural Networks

  • Uploaded by: SRINIVASA RAO GANTA
  • 0
  • 0
  • April 2020
  • PDF

This document was uploaded by user and they confirmed that they have the permission to share it. If you are author or own the copyright of this book, please report to us by using this DMCA report form. Report DMCA


Overview

Download & View Or21dsce-artificial Neural Networks as PDF for free.

More details

  • Words: 165
  • Pages: 3
OR

Code No. OR21/DSCE JAWAHARLAL NEHRU TECHNOLOGY UNIVERSITY, HYDERABAD M .Tech. II Semester Supplementary Examinations, March-2009 ARTIFICIAL NEURAL NETWORKS (Digital Systems & Computer Electronics) Time: 3 hours

Answer any Five questions All questions carry equal marks ---

Max. Marks.60

1.a) b)

Explain in detail the function of biological neuron. With neat block diagram explain supervised and unsupervised learning rules.

2.a) b)

Explain delta learning rule and window-hoff learning rules. Explain why single layer network could not solve linear inseparable classes classification.

3.

State and prove perseptron convergence theorem.

4.

For a back propagation network derive the equation for weight change in the hidden and output layers.

5.a) b)

Explain in detail about kohonen self organizing network. With block diagram explain ART network.

6.a) b)

Prove that for continuous Hopfield networks energy decreases as iteration progress. Explain in detail about boltzman machine network.

7.

Explain how neural networks are used in solving simultaneous linear equation.

8.

Write short notes on: a) Polynomial networks

b) Adaline.

^*^*^

Related Documents

Neural Networks
November 2019 56
Neural Networks
June 2020 27
Neural Networks
November 2019 42
Neural Networks
November 2019 42
55206-mt----neural Networks
October 2019 23

More Documents from "Fernando Sereno"