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Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Kim, Yeonuk;  Johnson, Mark S.;  Knox, Sara H.;  Black, T. Andrew;  Dalmagro, Higo J.;  Kang, Minseok;  Kim, Joon;  Baldocchi, Dennis
收藏  |  浏览/下载：16/0  |  提交时间：2019/11/27
artificial neural network  comparison of gap-filling techniques  eddy covariance  machine learning  marginal distribution sampling  methane flux  random forest  support vector machine  
Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 149-162
作者:  Pour, Sahar Hadi;  Shahid, Shamsuddin;  Chung, Eun-Sung;  Wang, Xiao-Jun
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
Statistical downscaling  Model output statistics  Climate change projection  Representative concentration pathways  Support vector machine  
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (13) : 4891-4902
作者:  Wang, Bin;  Zheng, Lihong;  Liu, De Li;  Ji, Fei;  Clark, Anthony;  Yu, Qiang
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine  
Combination of support vector machine, artificial neural network and random forest for improving the classification of convective and stratiform rain using spectral features of SEVIRI data 期刊论文
ATMOSPHERIC RESEARCH, 2018, 203: 118-129
作者:  Lazri, Mourad;  Ameur, Soltane
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
Support vector machine  Network neural  Random forest  MSG-SEVIRI  Radar image  Classification  
Predicting Hydrologic Function With Aquatic Gene Fragments 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (3) : 2424-2435
作者:  Good, S. P.;  URycki, D. R.;  Crump, B. C.
收藏  |  浏览/下载：0/0  |  提交时间：2019/04/09
DNA  machine learning  support vector regression  discharge  return interval  genohydrology  
Infilling missing precipitation records using variants of spatial interpolation and data-driven methods: use of optimal weighting parameters and nearest neighbour-based corrections 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (2) : 776-793
作者:  Teegavarapu, Ramesh S. V.;  Aly, Alaa;  Pathak, Chandra S.;  Ahlquist, Jon;  Fuelberg, Henry;  Hood, Jill
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
spatial interpolation  support vector machine  single best estimators  single best classifier  artificial neural networks  linear weight optimization  South Florida  missing precipitation  
Drought sensitivity mapping using two one-class support vector machine algorithms 期刊论文
ATMOSPHERIC RESEARCH, 2017, 193
作者:  Roodposhti, Majid Shadman;  Safarrad, Taher;  Shahabi, Himan
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
Drought sensitivity map (DSM)  Enhanced vegetation index (EVI)  Standardised precipitation index (SPI)  One-class support vector machine (OC-SVM)  Kermanshah  
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model 期刊论文
ATMOSPHERIC RESEARCH, 2017, 184
作者:  Deo, Ravinesh C.;  Kisi, Ozgur;  Singh, Vijay P.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Standardized precipitation index  Drought forecasting  Multivariate adaptive regression spline  Least square support vector machine  M5Tree model