| 铜合金时效性能的神经网络预测模型 |
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| 引用本文： | 刘沛东,刘平,苏娟华,康布熙,田保红.铜合金时效性能的神经网络预测模型[J].河南科技大学学报(自然科学版),2003,24(2):16-18. |
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| 作者姓名： | 刘沛东 刘平 苏娟华 康布熙 田保红 |
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| 作者单位： | 河南科技大学,材料科学与工程学院,河南,洛阳,471003 |
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| 基金项目： | 河南省重大科技攻关资助项目 (0 10 2 0 2 13 0 0 ) |
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| 摘 要： | 运用BP神经网络算法，对时效试验数据进行训练，建立了Cu-0．30Cr-0．15Zr合金时效后硬度和导电性与时效时间和时效温度的映射模型，从而可预测铜合金在一定时效条件下的硬度和导电性，预测结果与实测值吻合较好，表明神经网络用于铜合金的时效性能预测是可行的，预测的准确性取决于用于训练网络的铜合金时效试验数据的数量和质量。
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| 关 键 词： | 铜合金 时效性能 神经网络 预测模型 硬度 导电性 时效时间 时效温度 |
| 文章编号： | 1000-5080(2003)02-0016-03 |
| 修稿时间： | 2003年1月8日 |
Neural Network Predictive Model for Ageing Properties of Copper Alloys |
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| LIU Pei-Dong,LIU Ping,SU Juan-Hua,KANG Bu-Xi,TIAN Bao-Hong.Neural Network Predictive Model for Ageing Properties of Copper Alloys[J].Journal of Henan University of Science & Technology:Natural Science,2003,24(2):16-18. |
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| Authors: | LIU Pei-Dong LIU Ping SU Juan-Hua KANG Bu-Xi TIAN Bao-Hong |
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| Abstract: | A predictive model for ageing properties of copper alloys(Cu-0.30Cr-0.15Zr) by BP artificial neural net was developed.The non-linear relationship between hardness,conductivity and ageing time, ageing temperature were established . Hardness and conductivity performances of copper alloys can be predicted by means of the trained neural net from the ageing data. It shows that the errors between the predictive value and the measured value are very small, which proves the predictive model for hardness and conductivity performances of copper alloys is feasible and effective.The prediction accuracy depends on the quality and quantity of allay ageing data for training neural network. |
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| Keywords: | Ageing Neural networks Hardness Electrical conductivity Copper alloys |
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