Neural Network

Boltzman Machine

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Boltzman learning is a?
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 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 4
Marks : +2 | -2
Pass Ratio : 100%
What consist of boltzman machine?
fully connected network with both hidden and visible units
asynchronous operation
stochastic update
all of the mentioned
Explanation:
Boltzman machine consist of fully connected network with both hidden and visible units operating asynchronously with stochastic update.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
In boltzman learning which algorithm can be used to arrive at equilibrium?
Explanation:
Question 6
Marks : +2 | -2
Pass Ratio : 100%
False minima can be reduced by deterministic updates?
Explanation:
Question 7
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 8
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 9
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 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.