| ANN预测铀钛合金贮存后的力学性能 |
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| 引用本文： | 陆春海,王志伟,陈敏,廖俊生.ANN预测铀钛合金贮存后的力学性能[J].腐蚀科学与防护技术,2000,12(3):148-150. |
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| 作者姓名： | 陆春海 王志伟 陈敏 廖俊生 |
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| 作者单位： | 四川材料与工艺研究所,江油,621700 |
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| 摘 要： | 建立了预测铀钛合金在不同氮气氛和不同相对湿度下贮存后力学性能变化的人工神经网络模型，并用两组已知数据对人工神经网络垢预测效果进行了验证。
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| 关 键 词： | 人工神经网络 力学性能 |
ANN PREDICT MECHANICAL PROPERTIES OF U-Ti ALLOY AFTER STORED |
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| LU Chunhai,WANG Zhiwei,CHEN Min,LIAO Junsheng.ANN PREDICT MECHANICAL PROPERTIES OF U-Ti ALLOY AFTER STORED[J].Corrosion Science and Protection Technology,2000,12(3):148-150. |
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| Authors: | LU Chunhai WANG Zhiwei CHEN Min LIAO Junsheng |
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| Abstract: | An approach of artificial neural network(ANN) was applied to the study of the mechanical properties of U\|0.75%Ti alloy after the alloy stored in nitrogen atmosphere with various RH%. Good results were obtained for both of learning and the predicting performance. Using ANN to predict the mechanical properties of U\|Ti alloy in nitrogen atmosphere after 10 day. |
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| Keywords: | artificial neural network uranium alloy mechanical property |
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