Modeling and predicting the Henry's law constants of methyl ketones in aqueous sodium sulfate solutions with artificial neural network

Fluid Phase Equilibria

Volumn 266, Issue 1-2, 2008, Pages 187-194

  Safamirzaei, Mani ^a   Modarress, Hamid ^a   Mohsen Nia, Mohsen ^b  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF KASHAN   (Iran)

Author keywords

Artificial neural network (ANN); Back propagation (BP); Henry's law constant; Methyl ketones; Sodium sulfate; Solution

Indexed keywords

BACKPROPAGATION; NEURAL NETWORKS; SODIUM SULFATE; SOLUTIONS; THERMAL EFFECTS;

HENRY'S LAW CONSTANT; METHYL KETONES; POLYNOMIAL CORRELATIONS;

KETONES;

BACKPROPAGATION; KETONES; NEURAL NETWORKS; SODIUM SULFATE; SOLUTIONS; THERMAL EFFECTS;

EID: 41149171602     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2008.01.022     Document Type: Article

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