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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：30/0  |  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