MU Computer Engineering (Semester 7)
Soft Computing
May 2016
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


1(a) Define soft computing? Distinguish between soft computing and hard computing.
5 M
1(b) Explain Mc Culloch Pitts neuron model with the help of an example.
5 M
1(c) Determine (alfa) α-level sets and strong α-level sets for the following fuzzy set.
A={(1,0.2),
(2.0.5),
(3,0.8),
(4.1),
(5,0.7),
(6,0.3)}
5 M
1(d) Explain linear separable and non-linearly separable pattern with example.
5 M

2(a) What is learning in neural networks? Differentiate between supervised and unsupervised learning.
10 M
2(b) Explain any four defuzzification methods with suitable example.
10 M

3(a) Explain error back propagation training algorithm with the help of flowchart.
10 M
3(b) Explain genetic algorithm with the help of an example.
10 M

4(a) Prove the following identities:
i) For unipolar continous activation function f '(net) =o(1-o).
ii) For bipolar continuous activation function O = f (net) = \dfrac{2}{1+e^ {λnet} } -1.
10 M

5(a) Explain ANFIS architecture with neat diagram.
10 M
5(b) Explain perceptron learning with the help of an example
10 M

Write short note on any two of the following
6(a) Winner take all learning rule.
10 M
6(b) Learning vector quantization.
10 M
6(c) Character recognition using neural network.
10 M



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