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Multi-step ahead daily inflow forecasting using ERA-Interim reanalysis dataset based on gradient boosting regression trees

机译：基于渐变升压回归树的ERA-INSIM Reanalysy DataSet多步前进入日常流入预测

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Shengli Liao; Zhanwei Liu; Benxi Liu; Chuntian Cheng; Xinfeng Jin; Zhipeng Zhao;
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1. Multistep-ahead daily inflow forecasting using the ERA-Interim reanalysis data set based on gradient-boosting regression trees [J] . Liao Shengli, Liu Zhanwei, Liu Benxi, Hydrology and Earth System Sciences Discussions . 2020,第5期

机译：使用基于梯度升压回归树的ERA-Instim Reanalysicate数据集多次前方的每日流入预测
2. Multistep-ahead daily inflow forecasting using the ERA-Interim reanalysis data set based on gradient-boosting regression trees [J] . Shengli Liao, Zhanwei Liu, Benxi Liu, Hydrology and Earth System Sciences . 2020,第5期

机译：使用基于梯度升压回归树的ERA-Instim Reanalysicate数据集多次前方的每日流入预测
3. Multi-step-ahead traffic speed forecasting using multi-output gradient boosting regression tree [J] . Zhan Xingbin, Zhang Shuaichao, Szeto Wai Yuen, Journal of Intelligent Transportation Systems . 2020,第1a6期

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4. Verifying the Use of Evolving Fuzzy Systems for Multi-Step Ahead Daily Inflow Forecasting [C] . Luna I., Soares S., Lopes J.E.G., Intelligent System Applications to Power Systems, 2009. ISAP '09 . 2009

机译：验证不断发展的模糊系统在多步骤日流量预测中的应用
5. Gradient Boosted Regression Tree Methods for Semicontinuous Data [D] . Deshmukh, Sanket . 2020

机译：半连续数据的渐变提升回归树方法
6. Detection of independent associations in a large epidemiologic dataset: a comparison of random forests boosted regression trees conventional and penalized logistic regression for identifying independent factors associated with H1N1pdm influenza infections [O] . Yohann Mansiaux, Fabrice Carrat 2014

机译：在大型流行病学数据集中检测独立关联：比较随机森林增强回归树常规和惩罚逻辑回归以识别与H1N1pdm流感感染相关的独立因素
7. Multistep-ahead daily inflow forecasting using the ERA-Interim reanalysis data set based on gradient-boosting regression trees [O] . Shengli Liao, Zhanwei Liu, Benxi Liu, 2020

机译：使用基于梯度升压回归树的ERA-Instim Reanalysicate数据集多次前方的每日流入预测

Multi-step ahead daily inflow forecasting using ERA-Interim reanalysis dataset based on gradient boosting regression trees

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