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LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios 期刊论文
Stochastic Environmental Research and Risk Assessment, 2021, 卷号: v 35, 期号: n 9, 页码: p 1851-1881
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Ghahramani, Afshin;  Raj, Nawin;  Feng, Qi;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：27/0  |  提交时间：2021/12/07
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity 期刊论文
Journal of Hydrology, 2021, 卷号: v 599
作者:  Masrur Ahmed, A.A.;  Deo, Ravinesh C.;  Feng, Qi;  Ghahramani, Afshin;  Raj, Nawin;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：16/0  |  提交时间：2021/12/07
Hybrid deep learning method for a week-ahead evapotranspiration forecasting 期刊论文
Stochastic Environmental Research and Risk Assessment, 2021
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Feng, Qi;  Ghahramani, Afshin;  Raj, Nawin;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：23/0  |  提交时间：2021/12/07
Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high-resolution regional climate models 期刊论文
International Journal of Climatology, 2020, 卷号: v 40, 期号: n 8, 页码: p 3922-3941
作者:  Yin, Zhenliang;  Feng, Qi;  Yang, Linshan;  Deo, Ravinesh C.;  Adamowski, Jan F.;  Wen, Xiaohu;  Jia, Bing;  Si, Jianhua
收藏  |  浏览/下载：26/0  |  提交时间：2021/12/07
Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China 期刊论文
Science of the Total Environment, 2020, 卷号: v 713
作者:  Yang, Linshan;  Feng, Qi;  Adamowski, Jan F.;  Deo, Ravinesh C.;  Yin, Zhenliang;  Wen, Xiaohu;  Tang, Xia;  Wu, Min
收藏  |  浏览/下载：0/0  |  提交时间：2021/12/07
Random forest predictive model development w i t h uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region 期刊论文
Hydrology Research, 2020, 卷号: v 51, 期号: n 4, 页码: p 648-665
作者:  Wu, Min;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yin, Zhenliang;  Yang, Linshan;  Sheng, Danrui
收藏  |  浏览/下载：23/0  |  提交时间：2021/12/07
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: v 570, 页码: p 167-184
作者:  Wen, Xiaohu;  Feng, Qi;  Deo, Ravinesh C.;  Wu, Min;  Yin, Zhenliang;  Yang, Linshan;  Singh, Vijay P
收藏  |  浏览/下载：1/0  |  提交时间：2021/12/07
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：37/0  |  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)  
Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls 期刊论文
JOURNAL OF SOILS AND SEDIMENTS, 2019, 卷号: 19, 期号: 10
作者:  Zhu, Meng;  Feng, Qi;  Zhang, Mengxu;  Liu, Wei;  Deo, Ravinesh C.;  Zhang, Chengqi;  Yang, Linshan
收藏  |  浏览/下载：45/0  |  提交时间：2019/11/08
Random forest  Semiarid alpine regions  Soil organic carbon  Structural equation modeling  Topography  
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment 期刊论文
Stochastic Environmental Research and Risk Assessment, 2018, 卷号: v 32, 期号: n 9, 页码: p 2457-2476
作者:  Yin, Zhenliang;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yang, Linshan;  Si, Jianhua;  He, Zhibin
收藏  |  浏览/下载：29/0  |  提交时间：2021/12/07