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

COMPOSITION-THERMODYNAMIC PROPERTYRELATIONSHIPS FOR TERNARY POLAR MIXTURE VIANEURAL NETWORKS
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摘要 Artificial neural network(ANN) models have been employed to the calculations ofdensities 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 wasconvenient in operation, rapid in calculation and easy in extending to multicomponent systems. Artificial neural network(ANN) models have been employed to the calculations ofdensities 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 wasconvenient in operation, rapid in calculation and easy in extending to multicomponent systems.
出处 《Chinese Chemical Letters》 SCIE CAS CSCD 1996年第7期651-652,共2页 中国化学快报(英文版)
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