F F192140 Pages:2

Reg No.: Name:

APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
SIXTH SEMESTER B.TECH DEGREE EXAMINATION(S), DECEMBER 2019

Course Code: EE368
Course Name: SOFT COMPUTING

Max. Marks: 100 Duration: 3 Hours
PART A

Answer all questions, each carries5 marks. Marks
1 What is the role of activation function in neural network? Give one example (5)
2 What is a perceptron? Explain the training of perceptron. (5)
3 Draw the block diagram of a fuzzy logic Controller (5)
4 Which are the two tasks involved in CART-ANFIS based fuzzy modelling (5)
5 A genetic algorithm uses chromosomes of the form x = abed. the genes a,b,c,d_ (5)

can take values from 1 to 4.The fitness of individual x be calculated
as: f(x)= (a? − b*)- (c—d). Let the initial population consist of four individuals

with the following chromosomes:

xl = 1234
x2 = 2341
x3 = 3412

x4 = 4123. Evaluate the fitness of each individual and select the best individual.
6 What is the role of ‘mutation’ in GA based optimisation process. What is the (5)

usual range of probability value given for mutation process?

7 With an example, explain ‘Linear Separable problem’. (5)
8 What is regression? (5)
PART B

Answer any two full questions, each carries10 marks.
9 With the help of block diagrams or equations explain back propagation algorithm (10)
in training output and hidden layers of a feed forward network.
10 With block diagram, explain the fundamental concepts and updating of data in (10)
ART-1 network.
11 a) What is temporal instability problem? (2)
b) Compare supervised and unsupervised training methods (2)

௦) With the help of a membership function sketches, Show that AUA’# Universal (6)

set, where A is a fuzzy set.

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