Methods and apparatus for machine learning predictions and multi-objective optimization of manufacturing processes
US10338565B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2018 |
| Grant date | Jul 2, 2019 |
| Priority date | — |
| Expiry date | Aug 27, 2038 |
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 training a set of regression machine learning models with a training set to produce a set of predictive values for a pending manufacturing request, the training set including data extracted from a set of manufacturing transactions submitted by a set of entities of a supply chain. A multi-objective optimization model is implemented to (1) receive an input including the set of predictive values and a set of features of a physical object, and (2) generate an output with a set of attributes associated with a manufacture of the physical object in response to receiving the input, the output complying with a multi-objective condition satisfied in the multi-objective optimization model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.