Neural Network

Boltzman Machine

Question 1
Marks : +2 | -2
Pass Ratio : 100%
False minima can be reduced by deterministic updates?
Explanation:
Question 2
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 3
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 4
Marks : +2 | -2
Pass Ratio : 100%
Presence of false minima will have what effect on probability of error in recall?
directly
inversely
no effect
directly or inversely
Explanation:
Presence of false minima will increase the probability of error in recall.
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%
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 7
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 8
Marks : +2 | -2
Pass Ratio : 100%
In boltzman learning which algorithm can be used to arrive at equilibrium?
Explanation:
Question 9
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 10
Marks : +2 | -2
Pass Ratio : 100%
Probability of error in recall of stored patterns can be reduced if?
patterns are stored appropriately
inputs are captured appropriately
weights are chosen appropriately
none of the mentioned
Explanation:
Probability of error in recall of stored patterns can be reduced if weights are chosen appropriately.