Neural Networks and AI (NTA-NET (Based on NTA-UGC) Computer Science (Paper-II)): Questions 1 - 4 of 58

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Question number: 1

» Neural Networks and AI » Architecture & Structure: 2 & 3 Layered Neural Nets

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Appeared in Year: 2015

MCQ▾

Question

Reasoning strategies used in expert systems include ________ (December)

Choices

Choice (4) Response

a.

Forward chaining, backward chaining and boundary mutation

b.

Forward chaining, backward chaining and problem reduction

c.

Forward chaining, backward chaining and back propagation

d.

Backward chaining, problem reduction and boundary mutation

Question number: 2

» Neural Networks and AI » Architecture & Structure: 2 & 3 Layered Neural Nets

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Appeared in Year: 2015

MCQ▾

Question

In constraint satisfaction problem, constraints can be stated as ________ (December)

Choices

Choice (4) Response

a.

Arithmetic equations that impose restrictions over variables

b.

Arithmetic equations and inequalities that doesn’t bind any restriction over variables

c.

Arithmetic equations and inequalities that bind the values of variables

d.

Arithmetic equations that discard constraints over the given variables

Question number: 3

» Neural Networks and AI » Forward Chaining and Backward Chaining

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Appeared in Year: 2015

MCQ▾

Question

Forward chaining systems are ________ whereas backward chaining systems are ________ (December)

Choices

Choice (4) Response

a.

Goal driven, Goal driven

b.

Goal driven, Data driven

c.

Data driven, Data driven

d.

Data driven, Goal driven

Question number: 4

» Neural Networks and AI » Perceptron Model, Linear Separability and XOR Problem

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Appeared in Year: 2016

MCQ▾

Question

A perceptron has input weights and with threshold value . What output does it give for the input and ?

Choices

Choice (4) Response

a.

0

b.

1

c.

-2.30

d.

-2.65

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