Predicting reference evapotranspiration using the weighted instance handler wrapper algorithm

doi:10.1016/j.ecoinf.2026.103684

2026-03-02

Khabat Khosravi *

Aitazaz A. Farooque

Heydar Mirzaei

Javad Hatamiafkoueieh

DOI：10.1016/j.ecoinf.2026.103684

原文链接

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摘要

En 中文

• 开发了用于参考蒸散量预测的机器学习框架。 • 在一个站点训练模型，并在另外四个站点进行验证。 • 使用两种不同技术识别最优输入组合。 • 高效输入将预测不确定性降低了最高31%。 • 模型展示了可靠的性能和向相似区域的迁移能力。

Keyword:

Reference evapotranspiration (ETo)

Ensemble-based machine learning

WIHW-AMTree-PSO

Feature selection

Efficient input scenario

California

期刊

Ecological Informatics

IF:

7.3

论文数:

3.8K

被引数:

1.3W

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rudn university

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231

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Razi University

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3.1K

论文数: 3.3K

被引数: 2.8K

university of prince edward island

学者数:

论文数: 38

被引数: 0

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