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Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques
Ba, Huanhuan; Guo, Shenglian; Wang, Yun; Hong, Xingjun; Zhong, Yixuan; Liu, Zhangjun
刊名HYDROLOGY RESEARCH
2018
卷号49期号:3
关键词artificial neural network data preprocessing runoff forecasting singular spectrum analysis soil moisture
ISSN号0029-1277
DOI10.2166/nh.2017.048
URL标识查看原文
收录类别SCIE
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4211390
专题武汉大学
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GB/T 7714
Ba, Huanhuan,Guo, Shenglian,Wang, Yun,et al. Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques[J]. HYDROLOGY RESEARCH,2018,49(3).
APA Ba, Huanhuan,Guo, Shenglian,Wang, Yun,Hong, Xingjun,Zhong, Yixuan,&Liu, Zhangjun.(2018).Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques.HYDROLOGY RESEARCH,49(3).
MLA Ba, Huanhuan,et al."Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques".HYDROLOGY RESEARCH 49.3(2018).
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