Journal Article10.1016/j.electacta.2022.140350
EIS equivalent circuit model prediction using interpretable machine learning and parameter identification using global optimization algorithms
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TL;DR: Among seven multiclassification machine learning (ML) models taking optimized hyperparameters found by grid search, AdaBoost achieved the known highest equivalent circuit model prediction accuracy, 0.571, and had a prediction basis that was consistent with a common chemical knowledge as discussed by the authors .
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About: This article is published in Electrochimica Acta. The article was published on 01 Apr 2022. The article focuses on the topics: Hyperparameter & Hyperparameter optimization.
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