A novel ensemble model for predicting the performance of a novel vertical slot fishway
作者机构:Deparlment of Water and Environmental EngineeringSchool of Civil EngineeringIran University of Science and TechnologyTehran ***Iran Department of Water and Environmental EngineeringSchool of Civil EngineeringSemnan UniversitySemnan 35131-19111Iran Department of Water and Enironmental EngineeringSchool of Civil EngineeringIslamic Azad University Central Tehran BranchTehran ***Iran School of Progress EngineeringIran University of Science and TechnologyTehran ***Iran
出 版 物:《Frontiers of Structural and Civil Engineering》 (结构与土木工程前沿(英文版))
年 卷 期:2020年第14卷第6期
页 面:1418-1444页
核心收录:
学科分类:090801[农学-水产养殖] 082803[工学-农业生物环境与能源工程] 0908[农学-水产] 08[工学] 0828[工学-农业工程] 09[农学]
主 题:novel vertical slot fishway parametric study finite volume method ensemble model gene expression programming
摘 要:We investigate the performance of a novel vertical slot fishway by employing finite volume and surrogate *** linear regression,multiple log equation regression,gene expression programming,and combinations of these models are employed to predict the maximum turbulence,maximum velocity,resting area,and water depth of the middle pool in the *** statistical parameters and error terms,including the coefficient of determination,root mean square error,normalized square error,maximum positive and negative errors,and mean absolute percentage error were employed to evaluate and compare the accuracy of the *** also conducted a parametric *** independent variables include the opening between bafles(OBB),the ratio of the length of the large and small baffles,the volume flow rate,and the angle of the large *** results show that the key parameters of the maximum turbulence and velocity are the volume flow rate and OBB.