Simultaneous prediction of the thermodynamic properties of aqueous solution of ethylene glycol monoethyl ether using artificial neural network

Journal of Molecular Liquids

Volumn 207, Issue , 2015, Pages 327-333

  Ghaedi, Abdolmohammad ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Ethylene glycol monoethyl ether; Simultaneous prediction; Thermodynamic properties

Indexed keywords

ATMOSPHERIC PRESSURE; BINARY MIXTURES; ETHERS; ETHYLENE; ETHYLENE GLYCOL; FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; POLYOLS; SOLUTIONS; THERMAL EXPANSION; THERMODYNAMICS; VISCOSITY;

ARTIFICIAL NEURAL NETWORK MODELS; COEFFICIENT OF DETERMINATION; ETHYLENE GLYCOL MONOETHYL ETHER; EXCESS MOLAR VOLUMES; REDLICH-KISTER TYPE EQUATIONS; SIMPLE METHOD; THERMAL EXPANSION COEFFICIENTS; VISCOSITY DEVIATIONS;

THERMODYNAMIC PROPERTIES;

EID: 84928003808     PISSN: 01677322     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.molliq.2015.04.015     Document Type: Article

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