作者： | Samad Emamgholizadeh, Kiana Bahman, S. Mohyeddin Bateni, Hadi Ghorbani, Isa Marofpoor, Jeffrey R. Nielson |
作者单位： |
^{1}Shahrood University of Technology ^{2}University of Hawaii at Manoa ^{3}University of Kurdistan |
刊名： | Neural Computing and Applications, 2017, Vol.28 (1), pp.207-216 |
来源数据库： | Springer Journal |
DOI： | 10.1007/s00521-016-2320-x |
关键词： | Soil dispersivity; Adaptive neuro-fuzzy inference system; Artificial neural network; Genetic expression programming; Multiple linear regression; |
英文摘要： | The accurate estimation of soil dispersivity ( α ) is required for characterizing the transport of contaminants in soil. The in situ measurement of α is costly and time-consuming. Hence, in this study, three soft computing methods, namely adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and gene expression programming (GEP), are used to estimate α from more readily measurable physical soil variables, including travel distance from source of pollutant ( L ), mean grain size ( D _{50}), soil bulk density ( ρ _{b}), and contaminant velocity ( V _{c}). Based on three statistical metrics [i.e., mean absolute error, root-mean-square error (RMSE), and coefficient of determination ( R ^{2})], it is found that all approaches (ANN,... |
原始语种摘要： | The accurate estimation of soil dispersivity ( α ) is required for characterizing the transport of contaminants in soil. The in situ measurement of α is costly and time-consuming. Hence, in this study, three soft computing methods, namely adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and gene expression programming (GEP), are used to estimate α from more readily measurable physical soil variables, including travel distance from source of pollutant ( L ), mean grain size ( D _{50}), soil bulk density ( ρ _{b}), and contaminant velocity ( V _{c}). Based on three statistical metrics [i.e., mean absolute error, root-mean-square error (RMSE), and coefficient of determination ( R ^{2})], it is found that all approaches (ANN,... |