Systems with software engines configured for detection of high impact scenarios with machine learning-based simulation and methods of use thereof
US11734157B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2022 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Nov 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for scenario planning by using specially programmed software engines to simulate and detect particular feature variations leading to particular outcomes based on modeling with machine learning techniques. The disclosed technology enables improved model debugging, improved simulation efficiency and accuracy, improved model explainability, improved identification of high risk or high reward scenarios, among other improvements and combinations thereof. Computerized optimization techniques applied via variation generation across a dataset of test input records enable optimization for feature variation along with outcome variation. Moreover, the disclosed techniques may provide and/or realize a minimized variation to input data that correspond to a point of transition from one state to another state in an outcome that results from the input data, where the transition to another state is termed a “significant” variation to the output data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.