Predicting a root cause of an alert using a recurrent neural network
US11928009B2 · kind B2 · utility
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4References
17Claims
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Key dates
| Filing date | Aug 6, 2021 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Oct 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/15
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the invention include detecting an error alert from a target computer system. In response to detecting the error alert, performance data is then retrieved from the target computer system. A gated recurrent unit (GRU) neural network is used to generate a prediction of a root cause of the error alert based on the performance data. The weights of a reset gate of the GRU neural network are adjusted based on received feedback of the prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.