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APPARATUS AND METHOD OF OPTIMIZING EXPERIMENTAL CONDITIONS USING NEURAL NETWORK
APPARATUS AND METHOD OF OPTIMIZING EXPERIMENTAL CONDITIONS USING NEURAL NETWORK
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机译:使用神经网络优化实验条件的装置和方法
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摘要
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.
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