| 人工神经网络预测纯金属的表面张力 |
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| 引用本文： | 桂玮珍,谢充安.人工神经网络预测纯金属的表面张力[J].北京科技大学学报,1997,19(3):287-290. |
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| 作者姓名： | 桂玮珍 谢充安 |
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| 作者单位： | [1]北京科技大学信息工程学院 [2]北京科技大学应用科学学院 |
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| 摘 要： | 建立了以纯金属原子半径、熔点、沸点和原子化焓预测表面张力的人工神经网络模型。训练后的神经网络能较好的拟合实验数据。对４０种金属的表面张力进行回想和预测结果与实验值的偏差在可接受范围内，表明人工神经网络在纯金属表面张力预测方面有一定的前景。
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| 关 键 词： | 表面张力 神经网络 反传学习网 金属 预测 |
Estimating Surface Tension of Pure Metals by Neural Network |
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| Gui Weizhen, Xie Yun''''an, Qiao Zhiyu.Estimating Surface Tension of Pure Metals by Neural Network[J].Journal of University of Science and Technology Beijing,1997,19(3):287-290. |
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| Authors: | Gui Weizhen Xie Yun'an Qiao Zhiyu |
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| Abstract: | An artificial neural network was established to forecast the surface tension of pure metal from the experimental data of atomic radius, melting point, boiling point and atomization enthalpies. The trained network can represent the relahonship between the input factors and output factor (surface tension).The associated and forecast data for more than 40 pure metals are acceptable considering the deviation of the experimental dara for surface tension, which shows a good prospect of artificial neural network in the predic-tion of surface tension of pure metals. |
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| Keywords: | surface tension artificial neural network back propagation learning |
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