Neural Network Questions and Answers – Boltzman Machine – 2

This set of Neural Networks Multiple Choice Questions & Answers focuses on “Boltzman Machine – 2”.

1. For what purpose Feedback neural networks are primarily used?
a) classification
b) feature mapping
c) pattern mapping
d) none of the mentioned
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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
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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
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4. Is Boltzman law practical for implementation?
a) yes
b) no
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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
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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
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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
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8.False minima can be reduced by deterministic updates?
a) yes
b) no
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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
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10. Boltzman learning is a?
a) fast process
b) steady process
c) slow process
d) none of the mentioned
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Sanfoundry Global Education & Learning Series – Neural Networks.

To practice all areas of Neural Networks, here is complete set on 1000+ Multiple Choice Questions and Answers.