中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2022

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	Predicting Monthly Runoff of the Upper Yangtze River Based on Multiple Machine Learning Models 期刊论文 SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23 作者:  Li, Xiao;  Zhang, Liping;  Zeng, Sidong;  Tang, Zhenyu;  Liu, Lina;  Zhang, Qin;  Tang, Zhengyang;  Hua, Xiaojun 收藏  |  浏览/下载：41/0  |  提交时间：2022/12/26 monthly runoff prediction  machine learning  copula entropy  stepwise regression  Upper Yangtze River
	Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文 WATER, 2022, 卷号: 14, 期号: 11, 页码: 21 作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun;  Li, Zhenghao;  Song, Jinxi;  Xia, Jun 收藏  |  浏览/下载：87/0  |  提交时间：2022/08/22 mid- to long-term runoff prediction  deep learning models  time lag  lead time
	Temporal prediction of algal parameters in Three Gorges Reservoir based on highly time-resolved monitoring and long short-term memory network 期刊论文 JOURNAL OF HYDROLOGY, 2022, 卷号: 605, 页码: 12 作者:  Shan, Kun;  Ouyang, Tian;  Wang, Xiaoxiao;  Yang, Hong;  Zhou, Botian;  Wu, Zhongxing;  Shang, Mingsheng 收藏  |  浏览/下载：50/0  |  提交时间：2022/08/22 Harmful algal bloom  Real-time monitoring  Long short-term memory network  Microcystin  Three Gorges Reservoir