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Determination of the most suitable artificial neural network method for sediment estimation in the Euphrates-Tigris Basin

Ömer Faruk Karaca Kadri Yürekli

国际泥沙研究（英文版）2026，Vol.41Issue(1)：98-109,12.

国际泥沙研究（英文版）2026，Vol.41Issue(1)：98-109,12.DOI:10.1016/j.ijsrc.2025.07.011

Determination of the most suitable artificial neural network method for sediment estimation in the Euphrates-Tigris Basin

Ömer Faruk Karaca ¹Kadri Yürekli²

作者信息

1. Department of Biosystems Engineering,Faculty of Engineering-Architecture,Yozgat Bozok University,Yozgat,Turkey
2. Department of Biosystems Engineering,Faculty of Agriculture,Tokat Gaziosmanpaşa University,Tokat,Turkey
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摘要

关键词

Accumulation/ANN/RBANN/Euphrates-Tigris/Streamflow/River basin

Key words

Accumulation/ANN/RBANN/Euphrates-Tigris/Streamflow/River basin

引用本文复制引用

Ömer Faruk Karaca,Kadri Yürekli..Determination of the most suitable artificial neural network method for sediment estimation in the Euphrates-Tigris Basin[J].国际泥沙研究（英文版）,2026,41(1):98-109,12.

基金项目

The authors gratefully acknowledge the financial support for the publication from the World Association for Sedimentation and Erosion Research(WASER)APC Supporting Project. （WASER）

国际泥沙研究（英文版）

ISSN：1001-6279

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