gs gs127 Feedback Neural Networks - Hopfield Model - Quiz No.2
gs gs127 SQLite Quiz
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Question 1: In hopfield network with symmetric weights, energy at each state may?
increase
decrease
decrease or remain same
decrease or increase
Question 2: In hopfield model with symmetric weights, network can move to?
lower
higher
lower or higher
lower or same
Question 4: How can error in recall due to false minima be reduced?
deterministic update for states
stochastic update for states
not possible
none of the mentioned
Question 6: Pattern storage problem which cannot be represented by a feedback network of given size can be called as?
easy problems
hard problems
no such problem exist
none of the mentioned
Question 7: What is the other way to reduce error in recall due to false minima apart from stochastic update?
no other method exist
by storing desired patterns at lowest energy minima
by storing desired patterns at energy maxima
none of the mentioned
Question 8: How can error in recall due to false minima be further reduced?
using suitable activation dynamics
cannot be further reduced
by storing desired patterns at energy maxima
none of the mentioned
Question 9: As temperature increase, what happens to stochastic update?
increase in update
decrease in update
no change
none of the mentioned
Question 10: Why does change in temperature doesn’t effect stochastic update?
shape landscape depends on the network and its weights which varies accordingly and compensates the effect
shape landscape depends on the network and its weights which is fixed
shape landscape depends on the network, its weights and the output function which varies accordingly and compensates the effect
shape landscape depends on the network, its weights and the output function which is fixed
