Using artificial neural network to predict the ternary electrical conductivity of ionic liquid systems

Fluid Phase Equilibria

Volumn 314, Issue , 2012, Pages 128-133

  Hezave, Ali Zeinolabedini ^a   Lashkarbolooki, Mostafa ^a   Raeissi, Sona ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

1 Butyl 3 methylimidazolium hexafluorophosphate; bmim PF 6 ; Acetone; ANN; Electrical conductivity; Ethanol; Ionic liquid; Modeling; Physical property estimation; Ternary systems; Water

Indexed keywords

1-BUTYL-3-METHYL-IMIDAZOLIUM HEXAFLUOROPHOSPHATE; [BMIM][PF; ANN; ELECTRICAL CONDUCTIVITY; PHYSICAL PROPERTY ESTIMATION;

ACETONE; ELECTRIC CONDUCTIVITY; ETHANOL; FORECASTING; HYPERBOLIC FUNCTIONS; MEAN SQUARE ERROR; MODELS; NETWORK LAYERS; NEURAL NETWORKS; PHYSICAL PROPERTIES; TERNARY SYSTEMS; WATER;

IONIC LIQUIDS;

EID: 83655183278     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2011.10.028     Document Type: Article

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