中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共4条，第1-4条 帮助

已选(0)清除 条数/页：   排序方式：
Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Ahmed, Kamal;  Sachindra, D. A.;  Shahid, Shamsuddin;  Iqbal, Zafar;  Nawaz, Nadeem;  Khan, Najeebullah
收藏  |  浏览/下载：29/0  |  提交时间：2020/07/02
General circulation models  Multi-model ensemble  Taylor skill score  Machine learning algorithms  Temperature and precipitation  Pakistan  
Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 324-344
作者:  Abbaszadeh, Peyman;  Moradkhani, Hamid;  Zhan, Xiwu
收藏  |  浏览/下载：21/0  |  提交时间：2019/04/09
soil moisture downscaling  SMAP  ensemble learning  CONUS  
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：15/0  |  提交时间：2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine  
Research and application of a novel hybrid decomposition-ensemble learning paradigm with error correction for daily PM10 forecasting 期刊论文
ATMOSPHERIC RESEARCH, 2018, 201: 34-45
作者:  Luo, Hongyuan;  Wang, Deyun;  Yue, Chenqiang;  Liu, Yanling;  Guo, Haixiang
收藏  |  浏览/下载：15/0  |  提交时间：2019/04/09
Daily PM10 forecasting  Error correction  Fast ensemble empirical mode decomposition  Variational mode decomposition  Cuckoo search  Extreme learning machine