F F5890 Pages: 3

Reg No.: Name:

APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
FIFTH SEMESTER B.TECH DEGREE EXAMINATION, APRIL 2018

Course Code: 1
Course Name: SOFT COMPUTING
Max. Marks: 100 Duration: 3 Hours
PART A
Answer all questions, each carries 3 marks Marks
1 Define artificial neural network, Draw its mathematical model? (3)
2 Obtain the output of the neuron for a network with inputs are given ೩5 (3)

[x 1,x2,x3]=[0.8,0.6,0.4] and the weights are [w1,w2,w3]=[0.1,0.3,-0.2]
with bias= 0.35. Also find output for:

i) Binary sigmoidal ii) Bipolar sigmoidal activation functions.
3 Define the Perceptron learning rule and state the importance of Delta rule in (3)
Adaline?
4 List the stage involved in Back Propagation Algorithm? (3)
PART B
Answer any two full questions, each carries 9 marks
5 9) Discuss the concept of M P Neuron? (3)
b) Implement AND function using MP neuron (take binary data)? (6)
6 2) Design logical AND using Perceptron network for bipolar inputs and targets? (7)
b) Using linear separability, draw the decision boundary for logical AND? (2)
7 Design and implement OR function with bipolar inputs and targets using (9)

Adaline network? Find total mean square error of 3 epochs?

PART C
Answer all questions, each carries 3 marks
8 Define Fuzzy set and write basic fuzzy set operations? (3)
9 Discuss fuzzy equivalence relations and list out its properties? (3)
10 How Induction Reasoning is used for Fuzzification process? (3)
11 Using Zadeh’s notation, determine the 2 cut sets for the given fuzzy sets: (3)
51-12 + ಹ ಮ ‏85ھ‎ | 4)
0 20 40 60 80 100

Express the following for h= 0.5
i) 817 Sp ii) Si MS. 0) इ ജട്ടം

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