Information processing apparatus, method, and program using recurrent neural networks
US7877338B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | May 14, 2007 |
| Grant date | Jan 25, 2011 |
| Priority date | — |
| Expiry date | Nov 24, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An information processing apparatus, includes a lower time series data generation unit having a plurality of recurrent neural networks which learn predetermined time series data, and generating prediction time series data. An upper time series data generation unit has 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. Generation of prediction error time series data that is time series data of prediction errors; and a conversion unit that performs nonlinear conversion for the prediction errors generated by the upper time series data generation unit. The lower time series data generation unit outputs the prediction time series data according to the prediction errors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.