Importance

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Abstract

To represent selection behavior of a cognitively-biased consumer as a learnable model having high prediction accuracy. there is provided a processing apparatus including a parameter storing unit configured to store first weight values set among nodes between an input layer and an intermediate layer and second weight values set among nodes between the intermediate layer and an output layer, an acquiring unit configured to acquire a plurality of input values to a plurality of input nodes, and a calculating unit configured to calculate a plurality of output values from a plurality output nodes corresponding to the plurality of input values using a prediction model in which the influence of the second weight value set between the output node and the intermediate node corresponding to the input node, the input value to which is equal to or smaller than a threshold is reduced.

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First Claim