Hopfield Model-2 MCQ

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• Why does change in temperature doesn’t effect stochastic update?
  ক

  shape landscape depends on the network and its weights which varies accordingly and compensates the effect

  খ

  shape landscape depends on the network and its weights which is fixed

  গ

  shape landscape depends on the network, its weights and the output function which varies accordingly and compensates the effect

  ঘ

  shape landscape depends on the network, its weights and the output function which is fixed
• As temperature increase, what happens to stochastic update?
  ক

  increase in update

  খ

  decrease in update

  গ

  no change

  ঘ

  none of the mentioned
• How can error in recall due to false minima be further reduced?
  ক

  using suitable activation dynamics

  খ

  cannot be further reduced

  গ

  by storing desired patterns at energy maxima

  ঘ

  none of the mentioned
• What is the other way to reduce error in recall due to false minima apart from stochastic update?
  ক

  no other method exist

  খ

  by storing desired patterns at lowest energy minima

  গ

  by storing desired patterns at energy maxima

  ঘ

  none of the mentioned
• Pattern storage problem which cannot be represented by a feedback network of given size can be called as?
  ক

  easy problems

  খ

  hard problems

  গ

  no such problem exist

  ঘ

  none of the mentioned
• Energy at each state in hopfield with symmetric weights network may increase or decrease?
  ক

  yes

  খ

  no
• How can error in recall due to false minima be reduced?
  ক

  deterministic update for states

  খ

  stochastic update for states

  গ

  not possible

  ঘ

  none of the mentioned
• Can error in recall due to false minima be reduced?
  ক

  yes

  খ

  no
• In hopfield model with symmetric weights, network can move to?
  ক

  lower

  খ

  higher

  গ

  lower or higher

  ঘ

  lower or same
• In hopfield network with symmetric weights, energy at each state may?
  ক

  increase

  খ

  decrease

  গ

  decrease or remain same

  ঘ

  decrease or increase