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Soft Computing Quiz-1

Total questions: 12

Worksheet time: 6mins

Name
Class
Date
1.

Who initiated the idea of Soft Computing

a)

Charles Darwin

b)

Lofti A Zadeh

c)

Rechenberg

d)

Mc_Culloch

2.

Genetic Algorithm is a part of

a)

Evolutionary Computing

b)

inspired by Darwin's theory about evolution - "survival of the fittest"

c)

are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics

d)

All of the above

3.

Supervised Learning is

a)

learning with the help of examples

b)

learning without teacher

c)

learning with the help of teacher

d)

learning with computers as supervisor

4.

Unsupervised learning is

a)

learning without computers

b)

problem based learning

c)

learning from environment

d)

learning from teachers

5.

Conventional Artificial Intelligence is different from soft computing in the sense

a)

Conventional Artificial Intelligence deal with prdicate logic where as soft computing deal with fuzzy logic

b)

Conventional Artificial Intelligence methods are limited by symbols where as soft computing is based on empirical data

c)

problem based learning

d)

None of the above

6.

In supervised learning

a)

classes are not predefined

b)

classes are predefined

c)

classes are not required

d)

classification is not done

7.

The first widely-used commercial form of Artificial Intelligence (Al) is being used in many popular products like microwave ovens, automobiles and plug in circuit boards for desktop PCs. It allows machines to handle vague information with a deftness that mimics human intuition. What is the name of this Artificial Intelligence?

a)

Boolean logic

b)

Human logic

c)

Fuzzy logic

d)

Functional logic

8.

Which of the following systems mimics human thinking?

a)

Artificial intelligence

b)

Intelligent agent

c)

Bot

d)

Database management system

9.

Which AI system provides a diagnosis to a specific problem?

a)

Intelligent agent

b)

Expert system

c)

Geographical information system

d)

Data mining system

10.

In artificial Neural Network interconnected processing elements are called

a)

nodes or neurons

b)

weights

c)

axons

d)

Soma

11.

Each connection link in ANN is associated with ________ which has information about the input signal.

a)

neurons

b)

weights

c)

bias

d)

activation function

12.

Neurons or artificial neurons have the capability to model networks of original neurons as found in brain

a)

True

b)

False