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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：24/0  |  提交时间：2021/12/07
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: 35, 期号: 9
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：31/0  |  提交时间：2021/12/07
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：26/0  |  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：20/0  |  提交时间：2021/12/07
Modelling and attributing evapotranspiration changes on China’s Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality 期刊论文
Stochastic Environmental Research and Risk Assessment, 2020, 卷号: v 34, 期号: n 8, 页码: p 1217-1230
作者:  Ning, Tingting;  Liu, Wenzhao;  Li, Zhi;  Feng, Qi
收藏  |  浏览/下载：20/0  |  提交时间：2021/12/07
Modelling and attributing evapotranspiration changes on China's Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 卷号: 34, 期号: 8
作者:  Ning, Tingting;  Liu, Wenzhao;  Li, Zhi;  Feng, Qi
收藏  |  浏览/下载：24/0  |  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：35/0  |  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)  
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：25/0  |  提交时间：2021/12/07
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: 32, 期号: 9
作者:  Yin, Zhenliang;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yang, Linshan;  Si, Jianhua;  He, Zhibin
收藏  |  浏览/下载：42/0  |  提交时间：2019/11/08
River flow forecasting  Support vector regression  Multivariate adaptive regression spline  M5Tree model  Data-driven model  
Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm 期刊论文
PLANT CELL AND ENVIRONMENT, 2009, 卷号: 32, 期号: 12
作者:  Su, Yonghong;  Zhu, Gaofeng;  Miao, Zewei;  Feng, Qi;  Chang, Zongqiang
收藏  |  浏览/下载：34/0  |  提交时间：2019/11/08
A-C-i curves  genetic algorithm  mesophyll donductance  photosynthesis model