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Neural Networks
Neural Networks Multiple Choice
Quiz 1
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Q.1
For what purpose Feedback neural networks are primarily used?
a) classification
b) feature mapping
c) pattern mapping
d) none of the mentioned
Q.2
Presence of false minima will have what effect on probability of error in recall?
a) directly
b) inversely
c) no effect
d) directly or inversely
Q.3
How is effect false minima reduced
a) deterministic update of weights
b) stochastic update of weights
c) deterministic or stochastic update of weights
d) none of the mentioned
Q.4
Is Boltzman law practical for implementation?
a) yes
b) no
Q.5
For practical implementation what type of approximation is used on boltzman law?
a) max field approximation
b) min field approximation
c) hopfield approximation
d) none of the mentioned
Q.6
What happens when we use mean field approximation with boltzman learning?
a) it slows down
b) it get speeded up
c) nothing happens
d) may speedup or speed down
Q.7
Approximately how much times the boltzman learning get speeded up using mean field approximation?
a) 5-10
b) 10-30
c) 30-50
d) 50-70
Q.8
False minima can be reduced by deterministic updates?
a) yes
b) no
Q.9
In boltzman learning which algorithm can be used to arrive at equilibrium?
a) hopfield
b) mean field
c) hebb
d) none of the mentioned
Q.10
Boltzman learning is a?
a) fast process
b) steady process
c) slow process
d) none of the mentioned
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