An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting

Kilinc, Huseyin Cagan; Haznedar, Bulent; Ozkan, Furkan; Katipoğlu, Okan Mert

doi:10.1007/s11600-024-01307-5

Acta Geophys.

2024

DOI: 10.1007/s11600-024-01307-5

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An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting

Huseyin Cagan Kilinc,

Bulent Haznedar,

Furkan Ozkan

et al.

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An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting

Cited by 4 publications

References 47 publications

Applying Data-Driven Modeling for Streamflow Prediction in Semi-Arid Watersheds: A Comparative Evaluation of Machine Learning and Deep Learning Methodologies

Applying Data-Driven Modeling for Streamflow Prediction in Semi-Arid Watersheds: A Comparative Evaluation of Machine Learning and Deep Learning Methodologies

Ensemble deep learning techniques for time series analysis: a comprehensive review, applications, open issues, challenges, and future directions

A novel additive regression model for streamflow forecasting in German rivers

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