Reg No.: Name:
06000CS361122001

APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
Fifth Semester B.Tech Degree Regular and Supplementary Examination December 2020

Course Code: (5361
Course Name: SOFT COMPUTING

Max. Marks: 100 Duration: 3 Hours
PART A
Answer all questions, each carries 3 marks. Marks
1 Compare hard computing and soft computing. (3)
2 What is ADALINE? Why it is trained using least mean square rule? Write delta (3)
rule.
With diagram explain about any three activation functions. (3)
+ Draw the architecture of perceptron network. (3)
PART B
Answer any two full questions, each carries 9 marks.
5 Implement OR function using perceptron training algorithm with binary inputs (9)

and bipolar targets. (up to 2 epochs)
6 9) Draw the flowchart of Hebb training algorithm. (4)
b) Design a Hebb net to implement NOR function using with bipolar inputs and (5)
targets.

7 93) Draw the architecture of back propagation network and write training algorithm. (6)

b) Implement AND(x1, x2) where x1, x2 is an element of {0,1} using MP neuron. (3)
PART ^
Answer all questions, each carries 3 marks.
8 Define (i) core (ii) support (iii) boundary of a fuzzy set. (3)
9 List the properties of fuzzy set. (3)
10 Differentiate between fuzzy tolerance and equivalence relation. How can we (3)

convert fuzzy tolerance relation to fuzzy equivalence relation?

11 Using your own intuition and your own definitions of the universe of discourse, (3)
plot fuzzy membership functions for “Age of people”:
(1) Very young (ii) Young (iii) Middle-aged (iv) Old (v) Very old

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