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Neural Network
Neural Network
Boltzman Machine
Question 1
Marks :
+2
|
-2
Pass Ratio :
100%
Is Boltzman law practical for implementation?
yes
no
Explanation:
Boltzman law is too slow for implementation.
Question 2
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 3
Marks :
+2
|
-2
Pass Ratio :
100%
In boltzman learning which algorithm can be used to arrive at equilibrium?
Explanation:
Question 4
Marks :
+2
|
-2
Pass Ratio :
100%
Boltzman learning is a?
Explanation:
Question 5
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 6
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 7
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 8
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 9
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 10
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.
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