Method and system for training an artificial neural network utilizing physics based knowledge
US12229934B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2022 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | May 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training an artificial neural network including classifiers for material characterization. The method includes obtaining functional data having phase and amplitude, registering functional data by phase-amplitude separation and statistical analysis on the phase-amplitude separated data with an elastic distance to produce aligned functional data, performing dimensional reduction on the aligned functional data to produce a dimensional representation of the functional space, performing, by a computer system, a training operation to train an artificial neural network based on the dimensional representation of the functional space. A method and system for material characterization is also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.