Q. In hopfield model with symmetric weights, network can move to?

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Q. Can error in recall due to false minima be reduced?

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Q. How can error in recall due to false minima be reduced?

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Q. Energy at each state in hopfield with symmetric weights network may increase or decrease?

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Q. Pattern storage problem which cannot be represented by a feedback network of given size can be called as?

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Q. What is the other way to reduce error in recall due to false minima apart from stochastic update?

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Q. How can error in recall due to false minima be further reduced?

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Q. As temperature increase, what happens to stochastic update?

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Q. Why does change in temperature doesn’t effect stochastic update?

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Q. p(s=1|x) = 1/(1+exp(-x/T))) ,where ‘s’ is the output given the activation ‘x’ is a?

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Q. Does a stochastic network will evolve differently each time it is run?

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Q. In case of deterministic update, what kind of equilibrium is reached?

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Q. In case of stochastic update, can static equilibrium be reached?

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Q. In case of stochastic update, what kind of equilibrium is reached?

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Q. Is it possible in stochastic network that average state of network doesn’t change with time?

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Q. What can be the possible reason for thermal equilibrium in stochastic networks?

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Q. Can networks with symmetric weight reach thermal equilibrium?

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Q. When activation value is determined by using the average of fluctuations of outputs from other units, it is known as?

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Q. Where does a stochastic network exhibits stable states ?

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Q. Probability of error in recall of stored patterns can be reduced if?

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