Hybrid machine learning hydrological model for flood forecast purpose
Machine learning-based data-driven models have achieved great success since their invention. Nowadays, the artificial neural network (ANN)-based machine learning methods have made great progress than ever before, such as the deep learning and reinforcement learning, etc. In this study, we coupled th...
Main Authors: | Kan Guangyuan, Liang Ke, Yu Haijun, Sun Bowen, Ding Liuqian, Li Jiren, He Xiaoyan, Shen Chengji |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2020-09-01
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Series: | Open Geosciences |
Subjects: | |
Online Access: | https://doi.org/10.1515/geo-2020-0166 |
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