(Established under section 3 of UGC Act,1956)
Course & Branch : B.E
Title of the Paper :
Sub. Code :
Time : 3 Hours
A (10 x 2 = 20)
Answer ALL the
Define Neural Networks
State various Neural Network Architectures?
Give a simple model for an artificial neuron and compare with
Differentiate Supervised and Unsupervised learning?
List some of the applications
What are the four major building blocks of Counter Propagation
What do you meant by XOR Problem?
What do you mean by Delta rule in Back Propagation?
Give the diagrammatic representation of Hopfield network?
fine ART and give its applications
(5 x 12 = 60)
Answer ALL the Questions
Compare and contrast the merits and demerits on Neural
Networks with Biological systems.
(a) Justify how Neural Networks can be used for pattern
(b) Give the characteristics of Inference and Learning.
Explain the Classification of Neural Network Learning
algorithms with a brief illustration.
Explain in detail about Perceptron training algorithm
Discuss how Back propagation is helpful in reducing the Error by
using Hidden layer in between Input and Output Layer
Describe the Counter Propagation Network with neat
Explain the Kohonen Network algorithm
State how Neural Networks overcomes Traveling sales man
What do you mean by Vigilance test in ART and explains its
How do you train Neural Networks to solve the problems in