Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process

Streamflow forecasting has always been important in water resources management, particularly the peak flow, which often determines the seriousness of the impending flood. However, the highly imbalanced flow distribution often hinders the machine learning algorithm's performance. In this paper,...

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Bibliographic Details
Main Authors: Chong K.L., Huang Y.F., Koo C.H., Sherif M., Ahmed A.N., El-Shafie A.
Other Authors: 57208482172
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2024
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