Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models

Engineering Applications of Computational Fluid Mechanics

Wenyu Zheng¹  Sohrab Karimi²  Hojat Karami²  Kwok-Wing Chau³  Saeed Samadianfard⁴  Sadra Shadkani⁴  Amir H. Mosavi⁵  Shahab S. Band⁶ 

[1] Department of Civil Engineering and Architecture, Nanyang Normal University, Nanyang, Henan, People’s Republic of Chin;Nanyang Lingyu Machinery Co., Ltd., Nanyang, Henan, People’s Republic of Chin;Department of Civil Engineering, Semnan University, Semnan, Ira;Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People’s Republic of Chin;Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Ira;Faculty of Civil Engineering, Technische Universität Dresden,, Dresden, German;John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungar;Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Taiwa;

关键词: Inflatable dams;    particle swarm optimization;    genetic algorithm;    machine learning;    artificial intelligence;   

DOI  :  10.1080/19942060.2021.1976280

来源: Taylor & Francis

【 授权许可】

CC BY