Machine learning technologies for predicting results of cable fire tests
US12216686B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2024 |
| Grant date | Feb 4, 2025 |
| Priority date | — |
| Expiry date | Jan 19, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/018
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for using machine learning models to predict an outcome of a product test are described. According to certain aspects, an electronic device may calculate, based on a received set of small-scale results as a first input to a first machine learning model of a plurality of machine learning models, a first result predicting an outcome of the product tested according to the large-scale product test. The electronic device may then calculate, based on the set of small-scale results as a second input to at least one second machine learning model of the plurality of machine learning models, a second result predicting the outcome of the product tested according to the large-scale product test. The electronic device may then predict an outcome of the large-scale product test based at least on the first result and the second result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.