Neural Network

Boltzman Machine

Question 1
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 2
Marks : +2 | -2
Pass Ratio : 100%
False minima can be reduced by deterministic updates?
Explanation:
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%
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 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 6
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 7
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 8
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 9
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 10
Marks : +2 | -2
Pass Ratio : 100%
Boltzman learning is a?
Explanation: