Boltzman Machine MCQ Questions & Answers

Boltzman Machine MCQs : This section focuses on the "Boltzman Machine". These Multiple Choice Questions (MCQs) should be practiced to improve the Boltzman Machine skills required for various interviews (campus interview, walk-in interview, company interview), placement, entrance exam and other competitive examinations.

Question 1

Approximately how much times the boltzman learning get speeded up using mean field approximation?

A. 05-Oct
B. Oct-30
C. 30-50
D. 50-70

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Question 2

Boltzman learning is a?

A. fast process
B. steady process
C. slow process
D. none of the mentioned

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Question 3

By using which method, boltzman machine reduces effect of additional stable states?

A. no such method exist
B. simulated annealing
C. hopfield reduction
D. none of the mentioned

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Question 4

False minima can be reduced by deterministic updates?

A. yes
B. no

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Question 5

For practical implementation what type of approximation is used on boltzman law?

A. max field approximation
B. min field approximation
C. hopfield approximation
D. none of the mentioned

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Question 6

For what purpose Feedback neural networks are primarily used?

A. classification
B. feature mapping
C. pattern mapping
D. none of the mentioned

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Question 7

For what purpose is pattern environment useful?

A. determining structure
B. determining desired outputs
C. determining future inputs
D. none of the mentioned

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Question 8

For which other task can boltzman machine be used?

A. pattern mapping
B. feature mapping
C. classification
D. pattern association

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Question 9

How are energy minima related to probability of occurrence of corresponding patterns in the environment?

A. directly
B. inversely
C. directly or inversely
D. no relation

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Question 10

How is effect false minima reduced

A. deterministic update of weights
B. stochastic update of weights
C. deterministic or stochastic update of weights
D. none of the mentioned

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Question 11

In boltzman learning which algorithm can be used to arrive at equilibrium?

A. hopfield
B. mean field
C. hebb
D. none of the mentioned

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Question 12

Is Boltzman law practical for implementation?

A. yes
B. no

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Question 13

Is exact representation of pattern environment possible?

A. yes
B. no

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Question 14

Presence of false minima will have what effect on probability of error in recall?

A. directly
B. inversely
C. no effect
D. directly or inversely

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Question 15

Probability of error in recall of stored patterns can be reduced if?

A. patterns are stored appropriately
B. inputs are captured appropriately
C. weights are chosen appropriately
D. none of the mentioned

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Question 16

What consist of boltzman machine?

A. fully connected network with both hidden and visible units
B. asynchronous operation
C. stochastic update
D. all of the mentioned

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Question 17

What happens when we use mean field approximation with boltzman learning?

A. it slows down
B. it get speeded up
C. nothing happens
D. may speedup or speed down

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Question 18

What is pattern environment?

A. probability of desired patterns
B. probability of given patterns
C. behaviour of system
D. none of the mentioned

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Question 19

What may be the reasons for non zero probability of error in recalling?

A. spurious stable states
B. approximation in pattern environment representation
C. extra stable states
D. all of the mentioned

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Question 20

Approximately how much times the boltzman learning get speeded up using mean field approximation?

A. 5-10
B. 10-30
C. 30-50
D. 50-70

View Answer