Cochin University of Science and Techology (CUST) 2007 B.Tech Electronics and Communications Engineering Artificial Neural Network - exam paper

Artificial Neural Network (November 2007)


1a .explain the biological model of a neuron
b. discuss the exclusive OR issue
2a. differentiate supervised and unsupervised training
b. what is an activation function? discuss any 2 activation function.
3a. discuss the training of back propagation network
b. write notes on network paralysis and local minima
4a. with the help of neat diagram discuss the architecture of back propagation network
b. discuss back propagation algorithm with momentum. How it improves training.
5a. discuss the architecture of a counter propagation network with a neat diagram
b. discuss any 1 application of counter propagation network
6 discuss the training of Kohonen layer
7a. discuss Boltzmann training
b. discuss simulated annealing process
8a. discuss the artificial specific heats
b. discuss the issues associated with back propagation network
9a. define the architecture of ART with suitable diagrams
b. discuss any 1 application of Hopfield network
10a. discuss the structure of BAM with neat diagram
b. discuss how data is stored and retrieved in BAM

Earning:   Approval pending.