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公开(公告)号:US20230161842A1
公开(公告)日:2023-05-25
申请号:US17969426
申请日:2022-10-19
Applicant: Fulian Yuzhan Precision Technology Co., Ltd.
Inventor: CHEN-TING WU , XIN-DI LEI , HONG-WEI ZHANG , DENG-KUI TIAN , YING-YING NIE , CHENG-LUN LEE , QING-YU WANG
CPC classification number: G06K9/6262 , G05B13/024 , G06N20/00
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.
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公开(公告)号:US20230160811A1
公开(公告)日:2023-05-25
申请号:US17993180
申请日:2022-11-23
Applicant: Fulian Yuzhan Precision Technology Co., Ltd.
Inventor: CHEN-TING WU , HONG-WEI ZHANG , QING-YU WANG , LI YAN , DENG-KUI TIAN , CHENG-LUN LEE
IPC: G01N21/25
CPC classification number: G01N21/25
Abstract: A data analysis method for optimization of aluminum anodizing and dyeing process acquires a plurality of sample data groups, each sample data groups comprising dyeing result data and parameter data of multiple processing parameters. Contribution value of each processing parameter data relative to the dyeing result data in each of the plurality of sample data groups is determined, and the contribution values are used to determine at least one essential processing parameter. The essential processing parameters are then adjusted according to a data analysis result for improving quality of products. A computing device and storage medium are also provided.
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