Methods and apparatus for machine learning predictions and multi-objective optimization of manufacturing processes
US10061300B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2017 |
| Grant date | Aug 28, 2018 |
| Priority date | — |
| Expiry date | Sep 29, 2037 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The subject technology is related to methods and apparatus for discretization, manufacturability analysis, and optimization of manufacturing process based on computer assisted design models and machine learning. An apparatus determines from the digital model features of a physical object. Thereafter, the apparatus produces predictive values for manufacturing processes based on regression machine learning models. The apparatus generates a non-deterministic response including a non-empty set of attributes of manufacture processes of the physical object based on a multi-objective optimization model. The non-deterministic response complies or satisfies a selected multi-objective condition included in the multi-objective optimization model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.