Method and system for identifying potential causes of failure in simulation runs using machine learning
US10546080B1 · kind B1 · utility
2Cited by
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20Claims
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Key dates
| Filing date | Dec 27, 2018 |
| Grant date | Jan 28, 2020 |
| Priority date | — |
| Expiry date | Dec 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for identifying a potential cause of a failure in simulation runs on a design under test (DUT) using machine learning is disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.