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...

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Bibliographic Details
Main Authors: Kan Guangyuan, Liang Ke, Yu Haijun, Sun Bowen, Ding Liuqian, Li Jiren, He Xiaoyan, Shen Chengji
Format: Article
Language:English
Published: De Gruyter 2020-09-01
Series:Open Geosciences
Subjects:
Online Access:https://doi.org/10.1515/geo-2020-0166