| 神经网络用于三元分子混合物密度与粘度的预测 |
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| 引用本文： | 曹益林 刘洪霖. 神经网络用于三元分子混合物密度与粘度的预测[J]. 计算机与应用化学, 1997, 14(2): 133-138 |
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| 作者姓名： | 曹益林 刘洪霖 |
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| 作者单位： | 河南师范大学化学系!新乡，453002(曹益林，吕庆章，杨书廷)，中国科学院上海冶金研究所!上海，200050(刘洪霖) |
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| 摘 要： | 以二元系实验为基础，利用反向转播算法训练神经网络，构造混合物组成，温度等与物性关系的模型，用于对４个三元混合物体系（１）邻二甲苯－间二甲苯－对二甲苯；（２）四氯化碳－环己烷－２－丙醇；（３）甲醇－丙酮－水；（４）水－甲醇－乙二醇的密度和５个三元混合物体系（１）信甲苯－间二甲苯－对二甲苯；（２）四氯化碳－环己烷－２－丙醇；（３）氯仿－２－丙醇－２－丁醇；（４）甲醇－丙酮－水；（５）乙醇－甲醇－水的粘
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| 关 键 词： | 神经网络 三元混合物 密度 粘度 |
DENSITY AND VISCOSITY PREDICTIONS OF TERNARY MOLECULAR MIXTURES VIA NEURAL NETWORKS |
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| Cao Yilin,Lu Qingzhang,Yang Shuting. DENSITY AND VISCOSITY PREDICTIONS OF TERNARY MOLECULAR MIXTURES VIA NEURAL NETWORKS[J]. Computers and Applied Chemistry, 1997, 14(2): 133-138 |
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| Authors: | Cao Yilin Lu Qingzhang Yang Shuting |
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| Abstract: | Multilayer artificial neural networks (ANN) with back-propagaion of error were employed to predict the densities of (1) p-Xylene-m-Xlylene-p-Xylene, (2) Carbon tetrachloride-Cyclohexanes 2-P ropanol t (3) Methanol-Acetone-Water and (4) WaerMethanol-Ethylene glycol and to predict the Viscosities of (1) p-Xylen-m-Xylene-oXylene, (2) Carbon tetrachloride-Cyclohexane-2-Propanol. (3) Chloroform 2-Propanol2-Butanol, (4) Methanol-Acetone-Water and (5) Ethanol-Methanol-Water based on corresponding binary experimental data. Comparing with the experimelltal values, the prediction is satisfactory The possible physhal reasons for successfully prediction of density and viscosity of terllary systems have been briefiy discussed. |
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| Keywords: | Artilicial neural network Ternery mixture Density Viscosity |
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