中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共30条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Schmidt, Lennart;  Hesse, Falk;  Attinger, Sabine;  Kumar, Rohini
收藏  |  浏览/下载：7/0  |  提交时间：2020/05/13
machine learning  inference  floods  
Hydrologically Informed Machine Learning for Rainfall-Runoff Modeling: A Genetic Programming-Based Toolkit for Automatic Model Induction 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Chadalawada, Jayashree;  Herath, H. M. V. V.;  Babovic, Vladan
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
rainfall-runoff modeling  flexible conceptual modeling framework  machine learning  genetic programming  
An Example of Augmenting Regional Sensitivity Analysis Using Machine Learning Software 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Spear, Robert C.;  Cheng, Qu;  Wu, Sean L.
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Machine Learning Predicts Reach-Scale Channel Types From Coarse-Scale Geospatial Data in a Large River Basin 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Guillon, Herve;  Byrne, Colin F.;  Lane, Belize A.;  Solis, Samuel Sandoval;  Pasternack, Gregory B.
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/02
Reduced-Dimensional Gaussian Process Machine Learning for Groundwater Allocation Planning Using Swarm Theory 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Siade, Adam J.;  Cui, Tao;  Karelse, Robert N.;  Hampton, Clive
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Debates-Does Information Theory Provide a New Paradigm for Earth Science? 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Kumar, Praveen;  Gupta, Hoshin V.
收藏  |  浏览/下载：24/0  |  提交时间：2020/07/02
Complex Systems  Hypothesis Testing  Information Physics  Algorithmic Information  Causality  
Information-Based Machine Learning for Tracer Signature Prediction in Karstic Environments 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mewes, B.;  Oppel, H.;  Marx, V.;  Hartmann, A.
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
Machine learning  entropy  information content  karst  hydrograph separation  
A Rainfall-Runoff Model With LSTM-Based Sequence-to-Sequence Learning 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Xiang, Zhongrun;  Yan, Jun;  Demir, Ibrahim
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/02
Quantifying Climate and Catchment Control on Hydrological Drought in the Continental United States 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Konapala, Goutam;  Mishra, Ashok
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
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：6/0  |  提交时间：2020/02/16
prediction in ungauged basins  machine learning  CAMELS  LSTM