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%
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 3
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 4
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 5
Marks : +2 | -2
Pass Ratio : 100%
What may be the reasons for non zero probability of error in recalling?
spurious stable states
approximation in pattern environment representation
extra stable states
all of the mentioned
Explanation:
These all are the primary reasons for existence of non zero probability of error.
Question 6
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 7
Marks : +2 | -2
Pass Ratio : 100%
False minima can be reduced by deterministic updates?
Explanation:
Question 8
Marks : +2 | -2
Pass Ratio : 100%
For what purpose Feedback neural networks are primarily used?
classification
feature mapping
pattern mapping
none of the mentioned
Explanation:
Feedback neural networks are primarily used for pattern storage.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
In boltzman learning which algorithm can be used to arrive at equilibrium?
Explanation:
Question 10
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.