a) State the properties of processing element of an artificial neural (04

network. marks)
b) Illustrate an example of Neural Network model with 3 activation (05
function. marks)
Part B

a) Using Madaline network. implement XOR function with bipolar inputs (O6marks)

and targets. Assume the required parameters for training the network. (03/72/15)

b) State the significance of error portions Delta values in back
propagation algorithm.

a) Implement the AND and XOR function using McCulloch-Pitts neuron. (05

b) Draw the architecture of back propagation algorithm. marks)
(04 marks)
a) Represent the fuzzy set operations using Venn diagram. (03

b) Compare and contrast classical logic and fuzzy logic. marks)

c) Describe the importance of fuzzy-sets and its application in engineering (03

sector. marks)

(03 marks)

Part C
a) Explain the weight determination GA based BPNN. (6 marks)
b) With an example explain fuzzy genetic model. (6 marks)

a) Explain how optimization technique works in travetling sales man (6 marks)

problem. (6 marks)