Information processing apparatus and method
US7324980B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jan 21, 2003 |
| Grant date | Jan 29, 2008 |
| Priority date | — |
| Expiry date | Mar 18, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This invention relates to an information processing device and method that enable generation of an unlearned new pattern. Data xt corresponding to a predetermined time series pattern is inputted to an input layer (11) of a recurrent neural network (1), and a prediction value x*t+1 is acquired from an output layer 13. A difference between teacher data xt+1 and the prediction value x*t+1 is learned by a back propagation method, and a weighting coefficient of an intermediate layer 12 is set at a predetermined value. After the recurrent neural network is caused to learn plural time series patterns, a parameter having a different value from the value in learning is inputted to parametric bias nodes (11-2), and an unlearned time series pattern corresponding to the parameter is generated from the output layer (13). This invention can be applied to a robot.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.