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
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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 |
DOI | 10.2166/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 |
推荐引用方式 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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