Q. In boltzman learning which algorithm can be used to arrive at equilibrium?

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Q. False minima can be reduced by deterministic updates?

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Q. Approximately how much times the boltzman learning get speeded up using mean field approximation?

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Q. What happens when we use mean field approximation with boltzman learning?

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Q. For practical implementation what type of approximation is used on boltzman law?

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Q. Is Boltzman law practical for implementation?

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Q. How is effect false minima reduced?

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Q. Presence of false minima will have what effect on probability of error in recall?

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Q. For what purpose Feedback neural networks are primarily used?

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Q. What may be the reasons for non zero probability of error in recalling?

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Q. Is exact representation of pattern environment possible?

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Q. How are energy minima related to probability of occurrence of corresponding patterns in the environment?

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Q. For which other task can boltzman machine be used?

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Q. By using which method, boltzman machine reduces effect of additional stable states?

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Q. What consist of boltzman machine?

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Q. What should be the aim of training procedure in boltzman machine of feedback networks?

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Q. For what purpose is pattern environment useful?

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Q. What is pattern environment?

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

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Q. Where does a stochastic network exhibits stable states ?

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