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Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models 期刊论文
WATER, 2019, 卷号: 11, 期号: 8
作者:  Zhu, Rui;  Yang, Linshan;  Liu, Tao;  Wen, Xiaohu;  Zhang, Liming;  Chang, Yabin
收藏  |  浏览/下载：31/0  |  提交时间：2019/10/08
global climate model  hydrological response  extreme learning machine  support vector regression  Heihe River  
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)  
Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China 期刊论文
WATER RESOURCES MANAGEMENT, 2018, 卷号: 32, 期号: 1
作者:  Yu, Haijiao;  Wen, Xiaohu;  Feng, Qi;  Deo, Ravinesh C.;  Si, Jianhua;  Wu, Min
收藏  |  浏览/下载：37/0  |  提交时间：2019/11/08
Discrete wavelet transform  Artificial neural network  Support vector regression  Groundwater level fluctuations  Extreme arid regions  
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：49/0  |  提交时间：2019/11/08
reference evapotranspiration (ET0)  extreme-learning machine  support vector regression  ET0 projection  climate change