| 过渡元素二元合金相图有限固溶体固溶度的预报 |
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| 引用本文： | 朱莉雅,柳平英,郭景康. 过渡元素二元合金相图有限固溶体固溶度的预报[J]. 上海大学学报(自然科学版), 2004, 10(2): 143-147 |
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| 作者姓名： | 朱莉雅 柳平英 郭景康 |
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| 作者单位： | 上海大学,理学院,上海,200436 |
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| 摘 要： | 应用原子参数-人工神经网络方法研究了过渡元素二元合金相图中的有限固溶度问题．选择了原子体积、平均族数、元素熔点等影响固溶度的原子参数作为人工神经网络的输入值，使用已知的过渡元素二元合金相图的固溶度作为输出值，训练人工神经网络，应用“留一法”估计了人工神经网络的预报误差，并用训练好的网络对全部未知的过渡元素二元合金相图的固溶度进行计算机预报，得到了令人满意的结果．
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| 关 键 词： | 过渡元素 二元合金 有限固溶体 固溶度 |
| 文章编号： | 1007-2861(2004)02-0143-05 |
| 修稿时间： | 2003-03-25 |
Prediction of Limited Solid Solubility for Transition Elements in Binary Alloy Phase Diagram |
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| ZHU Li-ya,LIU Ping-ying,GUO Jing-kang. Prediction of Limited Solid Solubility for Transition Elements in Binary Alloy Phase Diagram[J]. Journal of Shanghai University(Natural Science), 2004, 10(2): 143-147 |
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| Authors: | ZHU Li-ya LIU Ping-ying GUO Jing-kang |
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| Abstract: | Limited solid solubility of transition elements in binary alloy phase diagram is studied by (using) atomic parameters and artificial neural network. The atomic volume, average group number and (element) melting point are selected as the inputs of ANN, and the solid solubility as the outputs. The ANN is trained by known data of binary alloy systems. The unknown solid solubility of the (binary) (alloy) (systems) is predicted with the trained ANN and the results are satisfactory. |
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| Keywords: | transition element binary alloy limited solid solution solid solubility |
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