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Runoff Forecasting using Convolutional Neural Networks and optimized Bi-directional Long Short-term Memory 期刊论文
WATER RESOURCES MANAGEMENT, 2023, 卷号: 37, 期号: 2
作者:  Wu, Junhao;  Wang, Zhaocai;  Hu, Yuan;  Tao, Sen;  Dong, Jinghan
收藏  |  浏览/下载：1/0  |  提交时间：2024/01/31
Prediction of landslide displacement using multi-kernel extreme learning machine and maximum information coefficient based on variational mode decomposition: a case study in Shaanxi, China 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 1
作者:  Ling Q.;  Zhang Q.;  Zhang J.;  Kong L.;  Zhang W.;  Zhu L.
收藏  |  浏览/下载：26/0  |  提交时间：2021/09/01
Displacement prediction  Kernel extreme learning machine  Kernel functions  Maximum information coefficient  Variational mode decomposition  
An evaluation of various data pre-processing techniques with machine learning models for water level prediction 期刊论文
Natural Hazards, 2021
作者:  Tiu E.S.K.;  Huang Y.F.;  Ng J.L.;  AlDahoul N.;  Ahmed A.N.;  Elshafie A.
收藏  |  浏览/下载：32/0  |  提交时间：2021/09/01
Artificial neural network  Bagging  Boosting  River water level prediction  Support vector regression  Variational Mode Decomposition  
Deterministic Analysis and Uncertainty Analysis of Ensemble Forecasting Model Based on Variational Mode Decomposition for Estimation of Monthly Groundwater Level 期刊论文
WATER, 2021, 卷号: 13, 期号: 2
作者:  Wu, Min;  Feng, Qi;  Wen, Xiaohu;  Yin, Zhenliang;  Yang, Linshan;  Sheng, Danrui
收藏  |  浏览/下载：29/0  |  提交时间：2021/12/07
A novel integrated method based on a machine learning model for estimating evapotranspiration in dryland 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 603
作者:  Fu, Tonglin;  Li, Xinrong;  Jia, Rongliang;  Feng, Li
收藏  |  浏览/下载：16/0  |  提交时间：2022/04/28
ARTIFICIAL NEURAL-NETWORK  SUPPORT-VECTOR-MACHINE  DECOMPOSITION  EVAPORATION  ALGORITHM  REGRESSION  EQUATIONS  MARS  SVM  ELM  
Deterministic analysis and uncertainty analysis of ensemble forecasting model based on variational mode decomposition for estimation of monthly groundwater level 期刊论文
Water (Switzerland), 2021, 卷号: v 13, 期号: n 2
作者:  Wu, Min;  Feng, Qi;  Wen, Xiaohu;  Yin, Zhenliang;  Yang, Linshan;  Sheng, Danrui
收藏  |  浏览/下载：30/0  |  提交时间：2021/12/07
Global Carbon Budget 2020 科技报告
, 2020
作者:  [unavailable]
Adobe PDF(8409Kb)  |  收藏  |  浏览/下载：9/1  |  提交时间：2021/11/24
Two-stage variational mode decomposition and support vector regression for streamflow forecasting 期刊论文
Hydrology and Earth System Sciences, 2020, 卷号: 24, 期号: 11
作者:  Zuo G.;  Luo J.;  Wang N.;  Lian Y.;  He X.
收藏  |  浏览/下载：37/0  |  提交时间：2021/01/06
Global Carbon Budget 2019 科技报告
, 2019
作者:  [unavailable]
Adobe PDF(9194Kb)  |  收藏  |  浏览/下载：17/1  |  提交时间：2021/11/24
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems 期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 570
作者:  Wen, Xiaohu;  Feng, Qi;  Deo, Ravinesh C.;  Wu, Min;  Yin, Zhenliang;  Yang, Linshan;  Singh, Vijay P.
收藏  |  浏览/下载：30/0  |  提交时间：2019/11/08
Expert system  Runoff  Integrated model  Complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)  Variational mode decomposition (VMD)  Extreme learning machine (ELM)