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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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Check out the MCQs below to embark on an enriching journey through Basics of Artificial Neural Networks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of neural networks.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Basics of Artificial Neural Networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Basics of Artificial Neural Networks MCQs | Page 1 of 7

Explore more Topics under neural networks

Q1.
Why do we need biological neural networks?

a.

to solve tasks like machine vision and natural language processing

b.

to apply heuristic search methods to find solutions of problem

c.

to make smart human interactive and user friendly system

d.

all of the mentioned

Discuss
Answer: (d).all of the mentioned
Q2.
What is the trend in software nowadays?

a.

to bring computer more and more closer to user

b.

to solve complex problems

c.

to be task specific

d.

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?

a.

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

b.

human have emotions

c.

human have more IQ and intellect

d.

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?

a.

find relation between 2 consecutive inputs

b.

related to storage and recall task

c.

predicting the future inputs

d.

none of the mentioned

Discuss
Answer: (b).related to storage and recall task
Q5.
Does pattern classification belongs to category of non-supervised learning?

a.

YES

b.

NO

c.

May be YES or NO

d.

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?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Q7.
What is unsupervised learning?

a.

features of group explicitly stated

b.

number of groups may be known

c.

neither feature and nor number of groups is known

d.

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?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (b).NO
Q9.
Does for feature mapping there’s need of supervised learning?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (b).NO
Q10.
Example of a unsupervised feature map?

a.

text recognition

b.

voice recognition

c.

image recognition

d.

none of the mentioned

Discuss
Answer: (b).voice recognition
Page 1 of 7

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