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BP网络与NRTL方程在汽液平衡数据预测中的比较研究
引用本文:田景芝,荆涛,李喆.BP网络与NRTL方程在汽液平衡数据预测中的比较研究[J].高师理科学刊,2007,27(1):18-20.
作者姓名:田景芝  荆涛  李喆
作者单位:齐齐哈尔大学,化学与化学工程学院,黑龙江,齐齐哈尔,161006
摘    要:用BP神经元网络,对乙醇-环己烷二元体系的汽液相平衡数据进行关联和预测,并用三参数NRTL方程的关联及预测结果进行对比研究.结果表明,BP神经元网络对汽液平衡数据的关联和预测结果在精度上均明显优于NRTL方程。

关 键 词:BP神经元网络  NRTL方程  相平衡  关联和预测
文章编号:1007-9831(2007)01-0018-03
修稿时间:2006年10月15

A comparative study between BP neural network and NRTL equation in the prediction of the vapor-liquid phase equilibrium data
TIAN Jing-zhi,JING Tao,LI Zhe.A comparative study between BP neural network and NRTL equation in the prediction of the vapor-liquid phase equilibrium data[J].Journal of Science of Teachers'College and University,2007,27(1):18-20.
Authors:TIAN Jing-zhi  JING Tao  LI Zhe
Abstract:The vapor-liquid phase equilibrium data of binary system of ethanol-cyclohexane has been correlated and predicted by means of BP neural network.In addition,a comparative study between the correlation of three parame-ter NRTL equation counteracting and the predicted result has been made.The result shows that BP neural network is obviously superior to NRTL equation in terms of accuracy.
Keywords:BP neural network  NRTL equation  phase equilibrium  correlation and prediction
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