Adaptive learning enhancement to automated model maintenance
US7092922B2 · kind B2 · utility
36Cited by
39References
29Claims
0Family size
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Key dates
| Filing date | May 21, 2004 |
| Grant date | Aug 15, 2006 |
| Priority date | — |
| Expiry date | Oct 21, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An adaptive learning method for automated maintenance of a neural net model is provided. The neural net model is trained with an initial set of training data. Partial products of the trained model are stored. When new training data are available, the trained model is updated by using the stored partial products and the new training data to compute weights for the updated model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.