Citation: Yi Lin CAO, Shu Ting YANG, Qing Zhang LU. COMPOSITION-THERMODYNAMIC PROPERTY RELATIONSHIPS FOR TERNARY POLAR MIXTURE VIA NEURAL NETWORKS[J]. Chinese Chemical Letters, ;1996, 7(7): 651-652. shu

COMPOSITION-THERMODYNAMIC PROPERTY RELATIONSHIPS FOR TERNARY POLAR MIXTURE VIA NEURAL NETWORKS

Department of Chemistry, Henan Normal University, Henan, Xinxiang 453002

Received Date: 26 October 1995

Artificial neural network (ANN) models have been employed to the calculations of densities and excess molar volumes of water+methanol+ethylene glycol ternary system at different temperatures. The results were satisfactory comparing with the experimental values. The method was convenient in operation, rapid in calculation and easy in extending to multicomponent systems.
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