Q. If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output in case of autoassociative feedback network?

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Q. If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is accretive in nature?

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Q. If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is interpolative in nature?

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Q. What property should a feedback network have, to make it useful for storing information?

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Q. What is the objective of a pattern storage task in a network?

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Q. Linear neurons can be useful for application such as interpolation, is it true?

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Q. What is the objective of pattern recall?

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Q. Can data be stored through weights?

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Q. How is pattern storage task generally accomplished?

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Q. The trajectory of the state is determined by?

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Q. What do you mean by the term trajectory of states?

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Q. What determines shape of energy landscape?

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Q. What may create basins of attraction in energy landscape?

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Q. What is the effect of basins of attraction on energy landscape?

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Q. What does basins of attraction corresponds to?

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Q. Basins of attraction in energy landscape leads to fluctuations, is that true?

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Q. For what purpose energy minima are used?

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Q. Is it possible to determine exact number of basins of attraction in energy landscape?

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Q. What is capacity of a network?

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Q. Can probability of error in recall be reduced?

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