Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach

被引：0
|
作者：
Rana Muhammad Adnan
Andrea Petroselli
Salim Heddam
Celso Augusto Guimarães Santos
Ozgur Kisi
机构：
[1] Hohai University,State Key Laboratory of Hydrology
[2] University of Tuscia,Water Resources and Hydraulic Engineering
[3] Faculty of Science,Department of Economy, Engineering, Society and Business (DEIM)
[4] Agronomy Department,Department of Civil and Environmental Engineering
[5] Hydraulics Division,Civil Engineering Department
[6] Federal University of Paraíba,Institute of Research and Development
[7] Ilia State University,undefined
[8] Duy Tan University,undefined
来源：
Natural Hazards | 2021年 / 105卷
关键词：
Machine learning; Physically event-based conceptual method; EBA4SUB; Hourly rainfall–runoff modeling;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2987 / 3011
页数：24
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