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利用神经网络算法推算超额吉布斯自由能
引用本文:张引沁.利用神经网络算法推算超额吉布斯自由能[J].平原大学学报,2008(4).
作者姓名:张引沁
作者单位:新乡学院化学与化工学院
摘    要:利用神经网络算法推算了超额吉布斯自由能GEm,并将推算结果与实验结果进行了比较,推算的平均相对误差均在1.42%以内。

关 键 词:超额吉布斯自由能  神经网络算法  自由能参数

Correlation and Prediction of Excess Gibbs Free Energy by Using Neural Network
ZHANG Yin-qin.Correlation and Prediction of Excess Gibbs Free Energy by Using Neural Network[J].Journal of Pingyuan University,2008(4).
Authors:ZHANG Yin-qin
Institution:ZHANG Yin-qin(College of Chemistry , Chemical Engineering,Xinxiang University,Xinxiang 453003,China)
Abstract:Correlation and representation of the excess Gibbs energy(GEm) with the temperature(T),pressure(p),composition(x) and activity coefficient(γ) of a system by using neural network have been studied in this paper.Predictions of the excess Gibbs energy based on the trained neural network models have been compared with experiments.The inaccuracy of the predictions was lower than 1.42%.
Keywords:excess Gibbs energy  neural network correlation  parameter of free energy  
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