| BP网络用于计算含C2H4体系高压汽液相平衡 |
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| 引用本文： | 高晓林,李志坚.BP网络用于计算含C2H4体系高压汽液相平衡[J].化学工业与工程,2005,22(2):145-147. |
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| 作者姓名： | 高晓林 李志坚 |
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| 作者单位： | 北京理工大学化工与环境学院,北京,100081;北京理工大学化工与环境学院,北京,100081 |
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| 摘 要： | 利用Levenberg Marquart优化算法,对含C2H4体系的高压汽液相平衡建立三层前向BP神经网络模型,其中,输入节点为温度(T),各组分液相组成(x1,x2);输出节点为压力(p),汽相组成y。结果表明,预测结果与实验数据有良好的一致性,所构建的神经网络对进一步研究高压汽液相平衡具有一定的指导意义。
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| 关 键 词： | BP神经网络 高压汽液相平衡 L-M算法 |
| 文章编号： | 1004-9533(2005)02-0145-03 |
| 修稿时间： | 2004年4月1日 |
Calculating High-Pressure-Vapor-Liquid Equilibrium Data of C2H4 System Using BP Neural Network |
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| GAO Xiao-lin,LI Zhi-jian.Calculating High-Pressure-Vapor-Liquid Equilibrium Data of C2H4 System Using BP Neural Network[J].Chemical Industry and Engineering,2005,22(2):145-147. |
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| Authors: | GAO Xiao-lin LI Zhi-jian |
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| Abstract: | By using the BP artificial neutral network(ANN) with the Levenberg-Marquardt algorithm,high-pressure-vapor-liquid equilibrium(VLE) data of C_2H_4 system were calculated.Temperature,x_1 and x_2 were used as input,and pressure and y as output.The comparison of the results showed that ANN could be successfully used to predict vapor-liquid equilibria at high pressures,and could be an effective method in VLE data processing at high pressure. |
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| Keywords: | BP neural network high-pressure-vapor-liquid equilibria L-M algorithm |
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