Neural Network

Boltzman Machine

Question 1
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.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Boltzman learning is a?
Explanation:
Question 3
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 4
Marks : +2 | -2
Pass Ratio : 100%
How are energy minima related to probability of occurrence of corresponding patterns in the environment?
directly
inversely
directly or inversely
no relation
Explanation:
Energy minima is directly related to probability of occurrence of corresponding patterns in the environment.
Question 5
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 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%
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 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%
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%
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.