Information processing apparatus

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395 27, G06F 1518

Patent

active

056048408

ABSTRACT:
An information processing apparatus is composed of an input layer, a hidden layer and an output layer, and performs a computation in terms of neuron models. In the information processing apparatus, a forward network comprising the input layer, the hidden layer and the output layer executes a computation for externally input data to determine the values of outputs therefrom, and a backward network comprising the output layer and the hidden layer executes computation for output values expected for given inputs to determine learning signal values. The information processing apparatus transfers the output values and learning values between the forward network and the backward network to modify the synapse weights of the neuron models.

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