Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

著录项

• 来源
  《Agricultural Water Management》 |2017年第2017期|共11页
• 作者

  Yu Feng; Ningbo Cui; Daozhi Gong; Qingwen Zhang; Lu Zhao;

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• 作者单位

  State Key Laboratory of Hydraulics and Mountain River Engineering &

  College of Water Resource and Hydropower Sichuan University;

  State Key Laboratory of Hydraulics and Mountain River Engineering &

  College of Water Resource and Hydropower Sichuan University;

  State Engineering Laboratory of Efficient Water Use of Crops and Disaster Loss Mitigation/MOA Key Laboratory for Dryland Agriculture Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agriculture Sciences;

  State Key Laboratory of Hydraulics and Mountain River Engineering &

  College of Water Resource and Hydropower Sichuan University;

  State Key Laboratory of Hydraulics and Mountain River Engineering &

  College of Water Resource and Hydropower Sichuan University;

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• 收录信息
• 原文格式 PDF
• 正文语种 other
• 中图分类 农业工程;
• 关键词

  Reference evapotranspiration; Random forests; Generalized regression neural networks; Modeling; K-fold test;

  机译：参考蒸发;随机森林;广义回归神经网络;建模;k折试验;