Information processing apparatus, information processing method, and program
First Claim
1. An information processing apparatus, including:
- lower time series data generation means having a plurality of recurrent neural networks which learn predetermined time series data, and generate prediction time series data according to the learning result;
upper time series data generation means having recurrent neural networks which learn error time series data that is time series data of errors raised at the time of the learning by the respective plural recurrent neural networks of the lower time series data generation means, and generate prediction error time series data that is time series data of prediction errors according to the learning result; and
conversion means for performing nonlinear conversion for the prediction errors generated by the upper time series data generation means,wherein the lower time series data generation means outputs the prediction time series data generated by the respective plural recurrent neural networks according to the prediction errors which have undergone the nonlinear conversion by the conversion means.
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Abstract
An information processing apparatus, comprises: a lower time series data generation unit having a plurality of recurrent neural networks which learn predetermined time series data, and generate prediction time series data according to the learning result; an upper time series data generation unit having recurrent neural networks which learn error time series data that is time series data of errors raised at the time of the learning by the respective plural recurrent neural networks of the lower time series data generation unit, and generate prediction error time series data that is time series data of prediction errors according to the learning result; and a conversion unit that performs nonlinear conversion for the prediction errors generated by the upper time series data generation unit, wherein the lower time series data generation unit outputs the prediction time series data generated by the respective plural recurrent neural networks according to the prediction errors which have undergone the nonlinear conversion by the conversion unit.
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Citations
11 Claims
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1. An information processing apparatus, including:
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lower time series data generation means having a plurality of recurrent neural networks which learn predetermined time series data, and generate prediction time series data according to the learning result; upper time series data generation means having recurrent neural networks which learn error time series data that is time series data of errors raised at the time of the learning by the respective plural recurrent neural networks of the lower time series data generation means, and generate prediction error time series data that is time series data of prediction errors according to the learning result; and conversion means for performing nonlinear conversion for the prediction errors generated by the upper time series data generation means, wherein the lower time series data generation means outputs the prediction time series data generated by the respective plural recurrent neural networks according to the prediction errors which have undergone the nonlinear conversion by the conversion means. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An information processing method, comprising the steps of:
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learning predetermined time series data, and generating prediction time series data according to the learning result; learning error time series data that is time series data of errors raised at the time of learning the predetermined time series data; and
generating prediction error time series data that is time series data of prediction errors according to the learning result;performing nonlinear conversion for the generated prediction errors; and outputting the generated prediction time series data according to the prediction errors which have undergone the nonlinear conversion.
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11. A program that makes a computer execute a processing, the processing comprising the steps of:
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learning predetermined time series data, and generating prediction time series data according to the learning result; learning error time series data that is time series data of errors raised at the time of learning the predetermined time series data, and generating prediction error time series data that is time series data of prediction errors according to the learning
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Specification