Invention Grant
- Patent Title: Method for constructing and training decentralized migration diagram neural network model for production process
-
Application No.: US17529311Application Date: 2021-11-18
-
Publication No.: US11367002B1Publication Date: 2022-06-21
- Inventor: Jiewu Leng , Weinan Sha , Zisheng Lin , Dewen Wang , Man Zhou , Guolei Ruan , Qiang Liu , Hu Zhang , Qianyi Su
- Applicant: GUANGDONG UNIVERSITY OF TECHNOLOGY
- Applicant Address: CN Guangzhou
- Assignee: GUANGDONG UNIVERSITY OF TECHNOLOGY
- Current Assignee: GUANGDONG UNIVERSITY OF TECHNOLOGY
- Current Assignee Address: CN Guangzhou
- Agency: True Shepherd LLC
- Agent Andrew C. Cheng
- Priority: CN202110010986.0 20210106
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08 ; G06K9/62 ; G05B13/02
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.
Public/Granted literature
Information query
