Weighted pattern learning for neural networks
US8301576B2 · kind B2 · utility
5Cited by
4References
12Claims
0Family size
Assignee
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Key dates
| Filing date | Oct 27, 2005 |
| Grant date | Oct 30, 2012 |
| Priority date | — |
| Expiry date | Jan 16, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a neural net includes receiving a plurality of sets of data, each set representative of a plurality of inputs to the neural net and a resulting at least one output from the neural net and calculating a plurality of network weights for the neural network based on the received plurality of sets of data. Calculating the plurality of network weights including attributing greater weight in the calculation to at least one set of the plurality of sets of data than at least one other set of the plurality of sets of data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.