Methods and apparatus for machine learning predictions of manufacture processes
US10281902B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 1, 2016 |
| Grant date | May 7, 2019 |
| Priority date | — |
| Expiry date | Sep 9, 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 and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.