Deep-learning based functional correlation of volumetric designs
US11514198B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 29, 2021 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Apr 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A design application receives an exemplary design from an end-user having one or more functional attributes relevant to solving a design problem. The design application then generates a set of labels that describes the functional attributes of the exemplary design. Based on the set of labels, the design application explores a functional space to retrieve one or more system classes having functionally descriptive labels that are similar to the set of labels generated for the exemplary design. The one or more system classes include different approaches to solving the design problem, and represent systems having at least some functional attributes in common with the exemplary design.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.