正庚烷-甲苯-环丁砜液液平衡体系的神经网络模型  

Neural Network Model of Liquid-Liquid Equilibrium of n-Heptane,Toluene and Sulfolane System

作　　者：吕会超[1] 张艳维[1] 崔书臣[2] 

机构地区：[1]安阳工学院化学与环境工程学院,河南安阳455000 [2]中国石化中原石油化工有限责任公司,河南濮阳457001

出　　处：《信阳师范学院学报（自然科学版）》2014年第2期263-266,共4页Journal of Xinyang Normal University(Natural Science Edition)

基　　金：河南省科技计划项目(122102210248)

摘　　要：建立了正庚烷-甲苯-环丁砜液液平衡体系的神经网络模型.首先以303.15 K和313.15 K下的数据作为样本来训练神经网络,获得了优化的模型参数,而后用323.15 K下的数据来检验其预测能力.结果表明:在所研究的温度范围内,对相平衡数据能够给出较好的描述,3个温度下的平均绝对偏差分别为0.87%、0.71%和1.59%.A back propagation neural network model with one hidden layer was established to predict the liquid- liquid equilibrium data of n-heptane ＋ toluene ＋ （ sulfolane and N-methylpyrrolidone ） system under atmospheric pressure. The equilibrium data of 303.15 K and 313.15 K were employed to train the network, and then the optimized model parameters were obtained. The equilibrium data of 323.15 K were used to validate its predicting capability. The results showed that average absolute deviations of the correlated （training） mole fractions from experimental data （303.15 K and 313.15 K） were 0.87% and 0.71% ,respectively, and that of the predicted mole fractions from exper- imental data （323.15K） was 1.59%.

关 键 词：神经网络 液液平衡 关联预测 

分 类 号：O642.4[理学—物理化学]