Apparatus and method of optimizing experimental conditions using neural network
US11720791B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | May 29, 2020 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Jul 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus for optimizing experimental conditions by using a neural network may calculate a prediction yield and accuracy of the prediction yield by using a neural network-based experimental prediction model. The apparatus may optimize the experimental conditions by determining an experiment priority of a respective experiment condition combination based on the prediction yield and the prediction accuracy and receiving a feedback of results of experiments performed according to the experiment priority.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.