| 利用神经网络算法推算超额吉布斯自由能 |
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| 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].新乡学院学报(自然科学版),2008(4):27-29. |
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| 作者姓名： | 张引沁 |
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| 作者单位： | 新乡学院化学与化工学院,河南新乡453003 |
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| 摘 要： | 利用神经网络算法推算了超额吉布斯自由能Gm^E，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。
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| 关 键 词： | 超额吉布斯自由能 神经网络算法 自由能参教 |
Correlation and Prediction of Excess Gibbs Free Energy by Using Neural Network |
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| Authors: | ZHANG Yin-qin |
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| Institution: | ZHANG Yin-qin (College of Chemistry and Chemical Engineering, Xinxiang University, Xinxiang 453003, China) |
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| Abstract: | Correlation and representation of the excess Gibbs energy （Gm^E） with the temperature（T）, pressure （p）, composition（x） and activity coefficient（y） 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%. |
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| Keywords: | excess Gibbs energy neural network correlation parameter of free energy |
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