Parameter setting method and device for anodic dyeing process, and electronic device
US12417258B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2022 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | Jan 19, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2433
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A parameter setting method acquires historical processing data, pre-processes the historical processing data to obtain sample data, and creates a trained regression algorithm using the sample data, then acquires preliminary emulated processing data and predetermined objective parameters inputted, wherein the preliminary emulated processing data and the predetermined objective parameters constitute emulated processing data. A reinforcement learning algorithm is trained with the historical processing data, emulated processing data, and the reinforcement learning algorithm; an actual objective parameter are set according to the actual reference parameters and the reinforcement learning algorithm. Scale of the training data for the reinforcement learning algorithm is greatly increased by the trained regression algorithm, which improves the accuracy of the learning algorithm. A parameter setting device, an electronic device, and a storage medium are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.