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1.
公开(公告)号:US11769081B2
公开(公告)日:2023-09-26
申请号:US16728759
申请日:2019-12-27
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Po-Yu Huang , Yu-Hsiuan Chang , Hong-Chi Ku
IPC: G06N20/10 , G06F17/18 , G06N5/045 , G06Q10/0635 , G06N5/01
CPC classification number: G06N20/10 , G06F17/18 , G06N5/01 , G06N5/045 , G06Q10/0635
Abstract: An optimum sampling search system and method with risk assessment, and a graphical user interface are provided. The optimum sampling search system includes a data acquisition unit, an objective satisfaction score calculation unit, a constraint satisfaction probability calculation unit, a sampling risk evaluation unit, and an adjusting unit. If the constraint satisfaction probability of a recommended sampling parameter is between a first predetermined value and a second predetermined value, the recommended sampling parameter is adjusted, by the adjusting unit, to optimize a constraint satisfaction probability model.
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公开(公告)号:US11551155B2
公开(公告)日:2023-01-10
申请号:US16231732
申请日:2018-12-24
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Chuang-Hua Chueh , Jia-Min Ren , Po-Yu Huang , Yu-Hsiuan Chang
Abstract: An ensemble learning prediction method includes: establishing a plurality of base predictors based on a plurality of training data; initializing a plurality of sample weights of a plurality of sample data and initializing a processing set; in each iteration round, based on the sample data and the sample weights, establishing a plurality of predictor weighting functions of the predictors in the processing set and predicting each of the sample data by each of the predictors in the processing set for identifying a prediction result; evaluating the predictor weighting functions, and selecting a respective target predictor weighting function from the predictor weighting functions established in each iteration round and selecting a target predictor from the predictors in the processing set to update the processing set and to update the sample weights of the sample data.
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