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Abstract

A method for predicting performance of solar cell structure includes: collecting and extracting input feature parameters of solar cell structures and corresponding output feature parameters; establishing corresponding data sets, and preprocessing the data sets according to a known criterion; constructing a model by utilizing a machine learning algorithm, and setting structural parameters and performing initialization training on the model; performing training optimization on the model subjected to setting the structural parameters and performing the initialization training by using a preprocessed training data set to obtain a prediction model; and inputting a preprocessed test data set of a to-be-predicted solar cell structure into the prediction model to obtain predicted values of output feature parameters of the to-be-predicted solar cell structure. The performance of solar cell structure can be rapidly predicted, which is convenient to operate and has a high accuracy.

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