Printed Pages : r

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4 Jffi

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NOE041

(Following Paper rD and Ro[ No. to be fired in yourAnsner Book)

Roll No.

B. Tech. (sEM.

rD TrmoRy

TNTRODUCTXON TO SOFT

EXAMTNATTON 2014_15

COMpurrNc (NEUnal NErwonI(,

FVAZY IOGIC & GH\if, TIC AI.,GORTIHM)

Time . 3 Hoursl

I

[Total Marks : 100

Attempt Five euestions.

1 2 3

5x410

Ddnefirzificaionarddefuzzificationwithorample. What is ADALINE? What arethe Three technologrirvolved in Artificial Intelligence?

4

What are the fundamental building blocks of the biological neural network? Discuss.

5 6

Define fiv,zy

if

therrnrles with suitable examples.

What is reinforcement learning? Discuss basic

difference between learning factors or classifications.

1ee431l

I Contd...

Atternpt any

1

four.

4x5=20

Define structure of human brain with the help

of

nanron structure.

2 3

What are the characteristics ofNeural Networ'k?

How linear separable task is defined for two dimensional spaces and Discuss XOR problem?

4

Write note on:Partition and covering

5

Veriff De Morgan's Law using truth table (For 3 states).

6

Discuss the basic fuzzy set operations'

1Ax2=20

Attempt any T\vo.

0

Consider the fuzzy sets A and B defined on the interval X [0,5] of real numbers by the

-

membership grade functions

rra

.x

(r)

=#.,

rra

(r) =2-*.

Determine the mathematical formulae and graphs

ofthemembership Sade functions of each ofthe following sets

(a)

Ac, Bc

(b) AUB

(c) AB (d) (A u Br 1ee43U

I Contd...

t.

G)

to

recognize English alphabetical

characters (F,

E, )(, Y, I, T) in an image

The task is

processing system.

Define two Ftzzy Sets I and F to represent the identification of characters

I:

I and F.

{(F,0.4), (8,0.3), (X,0.1), (Y,0.1), (I,0.9), (T,0.8))

F

-

{(F,0.99), (E,0.8),0q0.1), (Y,0.2), (I,0.5),

(T,0.5)) Find the following:

B)

Venfy De Morgan's Law

(IUF)c:IcnFc GD

Given

O CvD 0D -1p>(An -B) GD (C t d):> -H (iv) (An -B):>(R v S) Can (R v S) be inferred from inference rules? 4

Attempt any

I

T!vo.

l0x2=20

Derive an activation function for thresholding function

2

Give Artificial Neural Network Architecture? What is Rosenblatt's perceptron model?

19943U

3

[ Contd...

3

(a)

Explain different methods of selection in genetic algorithm in order to select a population for next generation.

O) 5

Give the detail of genetic representation (Enmding)

Two. lAx2:2A 1 Discuss the di:fferent applications of Genetic algorithems. 2 (a) Draw Flow chart and genetics cycle for Attempt any

Genetic Algorithm.

(b)

Define the basic concept of genetic algorithm

3

(a) O)

Discuss different genetic operators. Eaplain Back propagation learning algoritlrn

in detail.

r9e43U

[ 7s00 I

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