Welcome to the Basics of Artificial Neural Networks MCQs Page

Dive deep into the fascinating world of Basics of Artificial Neural Networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Basics of Artificial Neural Networks, a crucial aspect of Neural Networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Basics of Artificial Neural Networks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Neural Networks.

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Basics of Artificial Neural Networks MCQs | Page 1 of 7

Explore more Topics under Neural Networks

01

Learning Concepts of Neural Networks

02

Activation and Synaptic Dynamics

03

Feedforward Neural Networks

04

Feedback Neural Networks

05

Competitive Learning Neural Networks

06

Applications of Artificial Neural Networks

Q1.

Why do we need biological neural networks?

to solve tasks like machine vision and natural language processing

to apply heuristic search methods to find solutions of problem

to make smart human interactive and user friendly system

all of the mentioned

Discuss

Answer: (d).all of the mentioned

Q2.

What is the trend in software nowadays?

to bring computer more and more closer to user

to solve complex problems

to be task specific

to be versatile

Discuss

Answer: (a).to bring computer more and more closer to user

Q3.

What’s the main point of difference between human and machine intelligence?

human perceive everything as a pattern while machine perceive it merely as data

human have emotions

human have more IQ and intellect

human have sense organs

Discuss

Answer: (a).human perceive everything as a pattern while machine perceive it merely as data

Q4.

What is auto-association task in neural networks?

find relation between 2 consecutive inputs

related to storage and recall task

predicting the future inputs

none of the mentioned

Discuss

Answer: (b).related to storage and recall task

Q5.

Does pattern classification belongs to category of non-supervised learning?

YES

May be YES or NO

Can't Say

Discuss

Answer: (b).NO

Q6.

In pattern mapping problem in neural nets, is there any kind of generalization involved between input and output?

YES

May be YES or NO

Can't Say

Discuss

Answer: (a).YES

Q7.

What is unsupervised learning?

features of group explicitly stated

number of groups may be known

neither feature and nor number of groups is known

none of the mentioned

Discuss

Answer: (c).neither feature and nor number of groups is known

Q8.

Does pattern classification and grouping involve same kind of learning?

YES

May be YES or NO

Can't Say

Discuss

Answer: (b).NO

Q9.

Does for feature mapping there’s need of supervised learning?

YES

May be YES or NO

Can't Say

Discuss

Answer: (b).NO

Q10.

Example of a unsupervised feature map?

text recognition

voice recognition

image recognition

none of the mentioned

Discuss

Answer: (b).voice recognition

Page 1 of 7

Welcome to the Basics of Artificial Neural Networks MCQs Page

Basics of Artificial Neural Networks MCQs | Page 1 of 7

Explore more Topics under Neural Networks

Learning Concepts of Neural Networks

Activation and Synaptic Dynamics

Feedforward Neural Networks

Feedback Neural Networks

Competitive Learning Neural Networks

Applications of Artificial Neural Networks

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