| 神经网络技术用于醇水盐体系汽液平衡关联和预测 |
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| 引用本文： | 陈维苗,张雅明. 神经网络技术用于醇水盐体系汽液平衡关联和预测[J]. 陶瓷科学与艺术, 2001, 0(6) |
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| 作者姓名： | 陈维苗 张雅明 |
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| 作者单位： | 南京化工大学化工学院 江苏南京210009(陈维苗)，南京化工大学化工学院 江苏南京210009(张雅明) |
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| 摘 要： | 运用神经网络 ,对 32个醇水盐体系的汽液平衡数据进行了关联 ,计算值与实验值符合良好 ,泡点温度和汽相组成的平均偏差分别是 0 .93K和 0 .0 15。对未列入该模型的体系的汽液平衡进行了预测 ,也取得了较好的结果。
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| 关 键 词： | 神经网络 汽液平衡 醇类 含盐体系 |
Correlation and prediction of VLE for alcohol-water-salt systems by artificial networks |
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| CHEN Wei miao,ZHANG Ya ming College of Chemical Engineering,Nanjing University of Chemical Technology,Nanjing ,China. Correlation and prediction of VLE for alcohol-water-salt systems by artificial networks[J]. Ceramics Science & Art, 2001, 0(6) |
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| Authors: | CHEN Wei miao ZHANG Ya ming College of Chemical Engineering Nanjing University of Chemical Technology Nanjing China |
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| Affiliation: | CHEN Wei miao,ZHANG Ya ming College of Chemical Engineering,Nanjing University of Chemical Technology,Nanjing 210009,China |
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| Abstract: | alcohol water salt ternary systems were correlated and predicted using artificial neural network toolbox of Matlab.Performances of this ANN model to correlate vapor phase mole fraction and equilibrium temperature were discussed.The mean absolute deviations of predicted vapor phase mole fractions and temperatures for the whole systems mentioned were 0.015 and 0.93 K respectively.VLE data of other systems were predicted using this model as well. |
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| Keywords: | artificial neural networks vapor liquid equilibrium alcohols systems containing salts |
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