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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：38/0  |  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：46/0  |  提交时间：2019/11/08
Random forest  Semiarid alpine regions  Soil organic carbon  Structural equation modeling  Topography  
Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China 期刊论文
WATER, 2017, 卷号: 9, 期号: 11
作者:  Yin, Zhenliang;  Feng, Qi;  Yang, Linshan;  Deo, Ravinesh C.;  Wen, Xiaohu;  Si, Jianhua;  Xiao, Shengchun
收藏  |  浏览/下载：51/0  |  提交时间：2019/11/08
reference evapotranspiration (ET0)  extreme-learning machine  support vector regression  ET0 projection  climate change  
Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China 期刊论文
Water (Switzerland), 2017, 卷号: v 9, 期号: n 11
作者:  Yin, Zhenliang;  Feng, Qi;  Yang, Linshan;  Deo, Ravinesh C.;  Wen, Xiaohu;  Si, Jianhua;  Xiao, Shengchun
收藏  |  浏览/下载：1/0  |  提交时间：2021/12/07