Model based discriminant analysis
US11650348B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2020 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Jan 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2201/1296
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A model can be trained for discriminant analysis for substance classification and/or measuring calibration. One method includes interacting at least one sensor with one or more known substances, each sensor element being configured to detect a characteristic of the one or more known substances, generating an sensor response from each sensor element corresponding to each known substance, wherein each known substance corresponds to a known response stored in a database, and training a neural network to provide a discriminant analysis classification model for an unknown substance, the neural network using each sensor response as inputs and one or more substance types as outputs, and the outputs corresponding to the one or more known substances.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.