GSTDTAP

浏览/检索结果: 共5条,第1-5条 帮助

已选(0)清除 条数/页:   排序方式:
DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (3)
作者:  Lin, Tao;  Zhong, Renhai;  Wang, Yudi;  Xu, Jinfan;  Jiang, Hao;  Xu, Jialu;  Ying, Yibin;  Rodriguez, Luis;  Ting, K. C.;  Li, Haifeng
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/02
yield estimation  corn  LSTM  attention mechanism  multi-task learning  deep learning  
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 11344-11354
作者:  Kratzert, Frederik;  Klotz, Daniel;  Herrnegger, Mathew;  Sampson, Alden K.;  Hochreiter, Sepp;  Nearing, Grey S.
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/16
prediction in ungauged basins  machine learning  CAMELS  LSTM  
Downscaling rainfall using deep learning long short-term memory and feedforward neural network 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (10) : 4170-4188
作者:  Duong Tran Anh;  Van, Song P.;  Dang, Thanh D.;  Hoang, Long P.
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
extreme indices  FNN  LSTM  rainfall downscaling  Vietnamese Mekong Delta  
Investigating, forecasting and proposing emission mitigation pathways for CO2 emissions from fossil fuel combustion only: A case study of selected countries 期刊论文
ENERGY POLICY, 2019, 130: 7-21
作者:  Ameyaw, Bismark;  Yao, Li;  Oppong, Amos;  Agyeman, Joy Korang
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
CO2 emissions  Long short-term memory (LSTM)  Climate change  Forecasting  Forecast evaluation  
Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental US Using a Deep Learning Neural Network 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (21)
作者:  Fang, Kuai;  Shen, Chaopeng;  Kifer, Daniel;  Yang, Xiao
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
SMAP  deep learning  LSTM  soil moisture  hindcasting  remote sensing