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E1250 Pages: 2

APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
FIFTH SEMESTER B.TECH DEGREE EXAMINATION, MAY 2019
Course Code: CS361
Course Name: SOFT COMPUTING

PARTA
Answer all questions, each carries 3 marks.

Describe the importance of Back Propagation Network.
Write three application scope of the Neural Network.
Explain Perceptron Training Algorithm for Single Output Class.
What is Activation Function and write its importance.

PARTB

Answer any two full questions, each carries 9 marks.

Implement ANDNOT function using McCulloch-Pitts neuron model.
(Use binary data representation).
Differentiate between Hard Computing and Soft Computing.
Explain the training algorithm for Hebb Network.
Write the learning factors of Back Propagation Network.
With the help of an example explain Supervised, Unsupervised, Reinforcement
learning.
What is ADALINE . Why it is trained using least mean square rule.

PART C

Answer all questions, each carries 3 marks.

Represent the standard fuzzy set operations using Venn diagram.
Why the excluded middle law does not get satisfied in fuzzy logic.
Describe the features of membership function.

Consider the discrete fuzzy set defined on the universe X= {a, 0, c, d, €} as

A=. { + ன + ‏د‎ + + *}.Using Zadhe’s notation , find the 9- cut sets for
2=0.6,0.3,0*.
PART D
Answer any two full questions, each carries 9 marks.
Using the inference approach, obtain the membership values for the triangular shapes,
(I,R,T) for a triangle with angles 40° , 60° , 80°.

What is cardinality of a fuzzy set. Whether a power set can be formed for a fuzzy set.

Justify your answer.

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Duration: 3 Hours

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