Neural Network

Boltzman Machine

Question 1
Marks : +2 | -2
Pass Ratio : 100%
For practical implementation what type of approximation is used on boltzman law?
max field approximation
min field approximation
hopfield approximation
none of the mentioned
Explanation:
For practical implementation mean field approximation is used.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
How is effect false minima reduced
deterministic update of weights
stochastic update of weights
deterministic or stochastic update of weights
none of the mentioned
Explanation:
Presence of false minima can be reduced by stochastic update.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
For which other task can boltzman machine be used?
pattern mapping
feature mapping
classification
pattern association
Explanation:
Boltzman machine can be used for pattern association.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
What is pattern environment?
probability of desired patterns
probability of given patterns
behaviour of system
none of the mentioned
Explanation:
Pattern environment is probability distribution of given patterns.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Is exact representation of pattern environment possible?
yes
no
Explanation:
Exact representation of pattern environment is not possible.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
By using which method, boltzman machine reduces effect of additional stable states?
no such method exist
simulated annealing
hopfield reduction
none of the mentioned
Explanation:
boltzman machine uses simulated annealing to reduce the effect of additional stable states.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
What should be the aim of training procedure in boltzman machine of feedback networks?
to capture inputs
to feedback the captured outputs
to capture the behaviour of system
none of the mentioned
Explanation:
The training procedure should try to capture the pattern environment.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
What happens when we use mean field approximation with boltzman learning?
it slows down
it get speeded up
nothing happens
may speedup or speed down
Explanation:
Boltzman learning get speeded up using mean field approximation.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
For what purpose is pattern environment useful?
determining structure
determining desired outputs
determining future inputs
none of the mentioned
Explanation:
Pattern environment is useful for determining weights.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Approximately how much times the boltzman learning get speeded up using mean field approximation?
5-10
10-30
30-50
50-70
Explanation:
Boltzman learning get speeded up 10-30 using mean field approximation.