| 用人工神经网络定量预测化工基础物性 |
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| 引用本文： | 阚丹锋,麻德贤.用人工神经网络定量预测化工基础物性[J].北京化工大学学报(自然科学版),1993(3). |
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| 作者姓名： | 阚丹锋 麻德贤 |
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| 作者单位： | 北京化工学院计算机系，北京化工学院计算机系 |
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| 摘 要： | 人工神经网络是人工智能技术的一个分支。本文将人工神经网络技术用于化合物的正常沸点、临界温度和沸点汽化热的定量预测,取得了较好的结果。估算精度好于或相当于文献方法。通过对三种基础物性的试验,表明人工神经网络技术可以用于定量预测,从而为这种技术开辟了一个新的应用领域。
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| 关 键 词： | 人工神经网络 化工物性估算 定量预测 化工热力学 计算机应用 |
The Quantitative Prediction of Chemical Physical Properties with Neural Networks |
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| Kan Danfeng Ma Dexian.The Quantitative Prediction of Chemical Physical Properties with Neural Networks[J].Journal of Beijing University of Chemical Technology,1993(3). |
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| Authors: | Kan Danfeng Ma Dexian |
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| Institution: | Department of Computer |
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| Abstract: | In this paper, the artificial neural networks are used to predict three kinds of chcmical physical properties(Normal boiling boint, Critical temperature and Heat of evap oration at the normal boiling point). Better results are obtained in all cases. The estimated errors are less than those of published methods. It is believed that this technique may also be used to predict others properties quantitatively. |
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| Keywords: | artificial neural networks physical properties estimation quantitative prediction chemical thermodynamics computer applications |
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