典型文献
Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling with Relief algorithm
文献摘要：
The consolidation coefficient of soil(Cv)is a crucial parameter used for the design of structures leaned on soft soi.In general,the Cv is determined experimentally in the laboratory.However,the experimental tests are time-consuming as well as expensive.Therefore,researchers tried several ways to determine Cv via other simple soil parameters.In this study,we developed a hybrid model of Random Forest coupling with a Relief algorithm(RF-RL)to predict the Cv of soil.To conduct this study,a database of soil parameters collected from a case study region in Vietnam was used for modeling.The performance of the proposed models was assessed via statistical indicators,namely Coefficient of determination(R2),Root Mean Squared Error(RMSE),and Mean Absolute Error(MAE).The proposal models were constructed with four sets of soil variables,including 6,7,8,and 13 inputs.The results revealed that all models performed well with a high performance(R2＞0.980).Although the RF-RL model with 13 variables has the highest prediction accuracy(R2=0.9869),the difference compared with other models was negligible(i.e.,R2=0.9824,0.9850,0.9825 for the cases with 6,7,8 inputs,respectively).Thus,it can be concluded that the hybrid model of RF-RL can be employed to predict C based on the basic soil parameters.
文献关键词：
中图分类号：
作者姓名：
Hai-Bang LY;Huong-Lan Thi VU;Lanh Si HO;Binh Thai PHAM
作者机构：
Department of Civil Engineering,University of Transport Technology,Hanoi 100000,Vietnam;Civil and Environmental Engineering Program,Hiroshima University,Hiroshima 739-8527,Japan;Department of Science,Technology and International Cooperation,University of Transport Technology,Hanoi 100000,Vietnam
文献出处：
引用格式：
[1]Hai-Bang LY;Huong-Lan Thi VU;Lanh Si HO;Binh Thai PHAM-.Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling with Relief algorithm)[J].结构与土木工程前沿,2022(02):224-238
A类：
leaned,soi
B类：
Dimensionality,reduction,prediction,soil,consolidation,coefficient,using,random,forest,coupling,Relief,algorithm,Cv,crucial,used,design,structures,soft,In,general,determined,experimentally,laboratory,However,tests,consuming,well,expensive,Therefore,researchers,tried,several,ways,via,other,simple,parameters,this,study,developed,hybrid,Random,Forest,RF,RL,To,conduct,database,collected,from,region,Vietnam,was,modeling,performance,proposed,models,assessed,statistical,indicators,namely,Coefficient,determination,Root,Mean,Squared,Error,RMSE,Absolute,MAE,proposal,were,constructed,four,sets,variables,including,inputs,results,revealed,that,performed,Although,has,highest,accuracy,difference,compared,negligible,cases,respectively,Thus,can,be,concluded,employed,basic
AB值：
0.529206
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