Method for constructing and training decentralized migration diagram neural network model for production process
US11367002B1 · kind B1 · utility
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Key dates
| Filing date | Nov 18, 2021 |
| Grant date | Jun 21, 2022 |
| Priority date | — |
| Expiry date | Nov 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/098
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for constructing and training a Decentralized Migration Diagram Neutral Network (DMDNN) model for a production process, including: determining a production task input management node, distributed management nodes and a granularity of each of the distributed management nodes, and constructing a production system network; constructing network calculation nodes on each of the distributed management nodes; constructing and training a DMDNN model; and applying the trained DMDNN model in management and control of the production process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.