Data processing method and apparatus for training incremental model of neural network
US11151451B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 3, 2018 |
| Grant date | Oct 19, 2021 |
| Priority date | — |
| Expiry date | Aug 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0242
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A data processing method in a data processing device is provided. First to-be-processed data input into a neural network are obtained. Iterative training is performed on the neural network for a first preset number of times by using first target data in the first to-be-processed data, to obtain a seed model of the neural network. First newly added data generated after an elapse of time corresponding to the first time window is obtained, and the first newly added data and the first to-be-processed data are combined into second to-be-processed data. Iterative training is performed on the seed model for a second preset number of times by using second target data in the second to-be-processed data, to obtain a first incremental model of the neural network. A first preset area overlaps between the second time window and the first time window. The first incremental model online is published.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.