中文版 | English

在结果中检索

CCPortal

浏览/检索结果: 共3条，第1-3条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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: v 570, 页码: p 167-184
作者:  Wen, Xiaohu;  Feng, Qi;  Deo, Ravinesh C.;  Wu, Min;  Yin, Zhenliang;  Yang, Linshan;  Singh, Vijay P
收藏  |  浏览/下载：1/0  |  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：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)  
Space-Time Characteristics and Environmental Significance of the Stable Isotopes in Precipitation in the Gulang River Basin 期刊论文
Huanjing Kexue/Environmental Science, 2019, 卷号: v 40, 期号: n 1, 页码: p 149-156
作者:  Gui, Juan;  Li, Zong-Xing;  Feng, Qi;  Wei, Wei;  Li, Yong-Ge;  Lü, Yue-Min;  Yuan, Rui-Feng;  Zhang, Bai-Juan
收藏  |  浏览/下载：26/0  |  提交时间：2021/12/07