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A new framework for nonlinear input variable selection coupled with ensemble-wavelet-machine learning methods with uncertainty assessments for urban water demand forecasting

A new framework for nonlinear input variable selection coupled with ensemble-wavelet-machine learning methods with uncertainty assessments for urban water demand forecasting
非线性输入变量选择的新框架与集成小波机器学习方法相结合，用于城市需水量预测的不确定性评估
批准号：
450689-2013
负责人：
Adamowski, Jan
金额：
$1.82万
依托单位：
McGill University
依托单位国家：
加拿大
项目类别：
Engage Grants Program
财政年份：
2013
资助国家：
加拿大
项目状态：
已结题
起止时间：
2013-01-01 至 2014-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=539639
关键词：
newframeworknonlinearinputvariable

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