Information processing apparatus

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395 24, 395 27, G06F 1518

Patent

active

052147436

ABSTRACT:
An information processing apparatus which includes an input layer, a hidden layer and an output layer, and performs a computation in terms of models of neurons. A forward network, having 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, having 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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Rumelhart et al; Parallel Distributed Processing; Chapter 8; pp. 318-362.
Yasunaga et al; IJCNN '89; Proceedings (vol. II pp. 213-217).
Eberhardt et al; IJCNN '89; Proceedings (vol. II pp. 183-190).
Yasunaga et al; IJCNN '90; Proceedings (vol. II pp. 527-535).

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