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

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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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Chong K.L., Huang Y.F., Koo C.H., Sherif M., Ahmed A.N., El-Shafie A.
مؤلفون آخرون:	57208482172
التنسيق:	مقال
منشور في:	Springer Science and Business Media Deutschland GmbH 2024
الموضوعات:	Deep learning algorithms Hyperparameter optimization Machine learning algorithms Streamflow forecasting Forecasting Long short-term memory Regression analysis Stream flow Time series analysis Water resources Automated searches Cross entropy Deep learning algorithm Entropy-based Hyper-parameter Hyper-parameter optimizations Machine learning problem Streamflow forecast algorithm empirical analysis entropy machine learning optimization peak flow streamflow water management Learning algorithms
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Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process

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