Evaluation of density, viscosity, surface tension and CO2 solubility for single, binary and ternary aqueous solutions of MDEA, PZ and 12 common ILs by using artificial neural network (ANN) technique
详细信息    查看全文
文摘

Predicting the f257dec1a770eee86" title="Click to view the MathML source">ρ, 65fdc50c219643f9df7193448" title="Click to view the MathML source">μ, 65fe0e3a" title="Click to view the MathML source">σ and αCO2 for single aqueous solution of amine-ILs with ANN technique.

Predicting the f257dec1a770eee86" title="Click to view the MathML source">ρ, 65fdc50c219643f9df7193448" title="Click to view the MathML source">μ, 65fe0e3a" title="Click to view the MathML source">σ and αCO2 for binary aqueous solution of amine-ILs with ANN technique.

Predicting the f257dec1a770eee86" title="Click to view the MathML source">ρ, 65fdc50c219643f9df7193448" title="Click to view the MathML source">μ, 65fe0e3a" title="Click to view the MathML source">σ and αCO2 for ternary aqueous solution of amine-ILs with ANN technique.

Using Levenberg-Marquardt and tan-sigmoid respectively as LA and TF in ANN models.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700