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Welcome to the Feedback Neural Networks MCQs Page

Dive deep into the fascinating world of Feedback Neural Networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Feedback Neural Networks, a crucial aspect of Neural Networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Feedback 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 Feedback 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 Feedback Neural Networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Feedback Neural Networks MCQs | Page 2 of 8

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Q11.
What is the objective of pattern recall?

a.

it should not take place when relations are disturbed

b.

it should take place when relations are slightly disturbed

c.

there is no such objective of recall, it depends on the system

d.

none of the mentioned

Discuss
Answer: (b).it should take place when relations are slightly disturbed
Q12.
Can data be stored through weights?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Q13.
How is pattern storage task generally accomplished?

a.

by a feedback network consisting of processing units with non linear output functions

b.

by a feedback network consisting of processing units with linear output functions

c.

by a feedforward network consisting of processing units with non linear output functions

d.

by a feedforward network consisting of processing units with linear output functions

Discuss
Answer: (b).by a feedback network consisting of processing units with linear output functions
Q14.
The trajectory of the state is determined by?

a.

activation dynamics

b.

synaptic dynamics

c.

both activation and synaptic dynamics

d.

none of the mentioned

Discuss
Answer: (a).activation dynamics
Q15.
What do you mean by the term trajectory of states?

a.

just a state of the network

b.

sates at energy minima

c.

states at energy maxima

d.

none of the mentioned

Discuss
Answer: (d).none of the mentioned
Q16.
What determines shape of energy landscape?

a.

network parameters

b.

network states

c.

both network parameter and states

d.

none of the mentioned

Discuss
Answer: (c).both network parameter and states
Q17.
What may create basins of attraction in energy landscape?

a.

feedback among units

b.

nonlinear processing in units

c.

both feedback and nonlinear processing in units

d.

none of the mentioned

Discuss
Answer: (c).both feedback and nonlinear processing in units
Q18.
What is the effect of basins of attraction on energy landscape?

a.

leads to small deviations

b.

leads to fluctuation around

c.

may lead to deviation or fluctuation depends on external noise

d.

none of the mentioned

Discuss
Answer: (a).leads to small deviations
Q19.
What does basins of attraction corresponds to?

a.

stable states

b.

unstable states

c.

neutral states

d.

none of the mentioned

Discuss
Answer: (a).stable states
Q20.
Basins of attraction in energy landscape leads to fluctuations, is that true?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (b).NO
Page 2 of 8

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