Neural network learning for the prevention of false positive authorizations
US10509997B1 · kind B1 · utility
10Cited by
3References
14Claims
0Family size
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Inventor
Key dates
| Filing date | Oct 24, 2016 |
| Grant date | Dec 17, 2019 |
| Priority date | — |
| Expiry date | Apr 11, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are systems and methods that identify and improve upon false positive scores. Some embodiments may include artificial neural network learning methods that utilize data input from users as well as enterprise machines. Information, such as transaction timing, prior transaction data, and demographics, may be taken as inputs to the neural network processing. The processing may be done on one or more neural network computers or nodes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.