This download link is referred from the post: JNTUA M.Tech 2nd Sem last 10 year 2010-2020 Previous Question Papers (JNTU Anantapur)
Firstranker's choice
--- Content provided by FirstRanker.com ---
Code: 9D06105
M.Tech I Semester Supplementary Examinations August 2016
NEURAL NETWORKS & APPLICATIONS
(Common to DSCE & ECE)
(For students admitted in 2012, 2013, 2014 & 2015 only)
--- Content provided by FirstRanker.com ---
Time: 3 hours Max. Marks: 60
Answer any FIVE questions
All questions carry equal marks
- (a) Explain about the important architectures of neural network.
- (b) Discuss about various linear and non linear activation functions. Give their merits and demerits.
- (a) Explain delta learning rule.
- (b) State and prove perceptron convergence theorem.
- (a) How the parameters are set for back propagation algorithm? Explain the significance of learning rate and momentum term.
- (b) Write short note on radial basis function networks. Compare with multilayer perceptrons.
- (a) Discuss how the “Winner-Take-All” in the Kohonen’s layer is implemented and explain the architecture, also explain the training algorithm.
- (b) What is Learning Vector Quantizer (LVQ) and explain the training algorithm with the help of an example.
- (c) Give the architecture of adaptive resonance theory (ART) network and explain the training algorithm. Give expressions to modify weights.
- (a) Describe hamming net.
- (b) What is self-organizing network?
- (a) What is pattern association? Describe and construct energy function for a discrete Hopfield network and show that the energy function decreases every time as the neuron output changes.
- (b) A Hopfield network made up of 5 neurons, which is required to store the following three fundamental memories.
Xy = {+1,+1,+1,+1,+1}T
X, = {+1,-1,-1,+1,-1}T
X; ={-1,+1,-1,+1, +1}T
(i) Evaluate the synaptic weight matrix.--- Content provided by FirstRanker.com ---
(i) Specify the network structure.
(iii) Specify the connection weight. - (a) Write short note on Boltzmann machines.
- (b) Show how the traveling salesman problem can be solved using the Hopfield model.
- (a) What are the important applications in speech area? Discuss about any one application.
- (b) What is the difference between pattern recognition and classification? How is artificial neural network applied in both?
--- Content provided by FirstRanker.com ---
--- Content provided by FirstRanker.com ---
--- Content provided by FirstRanker.com ---
--- Content provided by FirstRanker.com ---
--- Content provided by FirstRanker.com ---
This download link is referred from the post: JNTUA M.Tech 2nd Sem last 10 year 2010-2020 Previous Question Papers (JNTU Anantapur)