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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 4 of 8

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Q31.
How can states of units be updated in hopfield model?

a.

synchronously

b.

asynchronously

c.

synchronously and asynchronously

d.

none of the mentioned

Discuss
Answer: (c).synchronously and asynchronously
Q32.
What is synchronous update in hopfield model?

a.

all units are updated simultaneously

b.

a unit is selected at random and its new state is computed

c.

a predefined unit is selected and its new state is computed

d.

none of the mentioned

Discuss
Answer: (a).all units are updated simultaneously
Q33.
What is asynchronous update in hopfield model?

a.

all units are updated simultaneously

b.

a unit is selected at random and its new state is computed

c.

a predefined unit is selected and its new state is computed

d.

none of the mentioned

Discuss
Answer: (b).a unit is selected at random and its new state is computed
Q34.
Asynchronous update ensures that the next state is atmost unit hamming distance from current state, is that true?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Q35.
If pattern is to be stored, then what does stable state should have updated value of?

a.

current sate

b.

next state

c.

both current and next state

d.

none of the mentioned

Discuss
Answer: (a).current sate
Q36.
For symmetric weights there exist?

a.

basins of attraction corresponding to energy minimum

b.

false wells

c.

fluctuations in energy landscape

d.

none of he mentioned

Discuss
Answer: (a).basins of attraction corresponding to energy minimum
Q37.
If connections are not symmetric then basins of attraction may correspond to?

a.

oscillatory regions

b.

stable regions

c.

chaotic regions

d.

oscillatory or chaotic regions

Discuss
Answer: (d).oscillatory or chaotic regions
Q38.
For analysis of storage capacity what are the conditions imposed on hopfield model?

a.

symmetry of weights

b.

asynchronous update

c.

symmetry of weights and asynchronous update

d.

none of the mentioned

Discuss
Answer: (c).symmetry of weights and asynchronous update
Q39.
What is gradient descent?

a.

method to find the absolute minimum of a function

b.

method to find the absolute maximum of a function

c.

maximum or minimum, depends on the situation

d.

none of the mentioned

Discuss
Answer: (a).method to find the absolute minimum of a function
Q40.
If connections are not symmetric then basins of attraction may correspond to oscillatory or stable regions, is that true?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (b).NO
Page 4 of 8

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