中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共2条，第1-2条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Improvement of rainfall estimation from MSG data using Random Forests classification and regression 期刊论文
ATMOSPHERIC RESEARCH, 2018, 211: 62-72
作者:  Ouallouche, Fethi;  Lazri, Mourad;  Ameur, Soltane
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/09
Rainfall estimation  Learning machine  Random Forest (RF)  Meteosat Second Generation (MSG)  
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