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Enhancing the Evaluation and Interpretability of Data-Driven Air Quality Models 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246
作者:  Gu J.;  Yang B.;  Brauer M.;  Zhang K.M.
收藏  |  浏览/下载：45/0  |  提交时间：2022/01/18
Air quality modeling  Data-driven model  Linear regression  Model evaluation  Model interpretability  Random forest  Repeated cross-validations  SHAP  
New dynamic two-layer model for predicting depth-averaged velocity in open channel flows with rigid submerged canopies of different densities 期刊论文
, 2020, 卷号: 138
作者:  Yang F.;  Huai W.-X.;  Zeng Y.-H.
收藏  |  浏览/下载：21/0  |  提交时间：2020/07/28
Genetic algorithms  Genetic programming  Quay walls  Suspensions (fluids)  Velocity  Velocity distribution  Wall flow  Combination method  Data-driven methods  Depth-averaged velocities  Different densities  Flow rate estimations  Hydraulic resistances  Submerged vegetation  Two layer model  Open channel flow  dynamic analysis  flood  fluid flow  open channel flow  prediction  seasonal variation  submerged vegetation  
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 卷号: 32, 期号: 9
作者:  Yin, Zhenliang;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yang, Linshan;  Si, Jianhua;  He, Zhibin
收藏  |  浏览/下载：59/0  |  提交时间：2019/11/08
River flow forecasting  Support vector regression  Multivariate adaptive regression spline  M5Tree model  Data-driven model