Invention Grant
- Patent Title: Apparatus and method of optimizing experimental conditions using neural network
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Application No.: US16887062Application Date: 2020-05-29
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Publication No.: US11720791B2Publication Date: 2023-08-08
- Inventor: Youngchun Kwon , Jinwoo Park , Dongseon Lee , Youngmin Nam , Minsik Park , Jiho Yoo , Younsuk Choi
- Applicant: SAMSUNG ELECTRONICS CO., LTD.
- Applicant Address: KR Suwon-si
- Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee Address: KR Suwon-si
- Agency: Sughrue Mion, PLLC
- Priority: KR 20190135592 2019.10.29
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/047

Abstract:
An apparatus for optimizing experimental conditions by using a neural network may calculate a prediction yield and accuracy of the prediction yield by using a neural network-based experimental prediction model. The apparatus may optimize the experimental conditions by determining an experiment priority of a respective experiment condition combination based on the prediction yield and the prediction accuracy and receiving a feedback of results of experiments performed according to the experiment priority.
Public/Granted literature
- US20210125060A1 APPARATUS AND METHOD OF OPTIMIZING EXPERIMENTAL CONDITIONS USING NEURAL NETWORK Public/Granted day:2021-04-29
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