Neural network learning apparatus and learning method

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G06F 1518

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055287298

ABSTRACT:
A neural network learning method firstly performs finding a linear operator which satisfies required conditions suited to the function for learning by using linear prediction, where the function characterizes the neural network of the function approximation type, and operating the linear operator on the teaching patterns which approximated by a linear sum of the function, and determining results of the operation, and secondly it performs replacing learning of a neural network with a linear predictive problem according to the operation result firstly obtained by the first, and for determining a solution with respect to the linear predictive problem, and thirdly it performs a determination of weights from the hidden layer to output layer so that an error between output data from the output layer and the teaching patterns is minimized, according to the solution with respect to the linear predictive problem.

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