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| 利用神经网络建立快速凝固Cu-Cr-Zr合金时效知识库 | |
| 引用本文： | 苏娟华,董企铭,刘平,李贺军,康布熙.利用神经网络建立快速凝固Cu-Cr-Zr合金时效知识库[J].材料热处理学报,2003,24(3):88-90. |
| 作者姓名： | 苏娟华 董企铭 刘平 李贺军 康布熙 |
| 作者单位： | 1. 西北工业大学材料学院,陕西,西安,710072;河南科技大学材料学院,河南,洛阳,471003 2. 河南科技大学材料学院,河南,洛阳,471003 3. 西北工业大学材料学院,陕西,西安,710072 |
| 基金项目： | 国家高技术研究发展计划 (863计划 ) (2 0 0 2AA331 1 1 2 )，河南省重大科技攻关项目 (0 1 2 2 0 2 1 30 0 ) |
| 摘 要： | 根据人工神经网络(ANN)的BP(back propagation)算法，建立了快速凝固Cu-Cr-Zr铜合金时效温度和时间与硬度和导电率的神经网络映射模型。预测值与实际情况吻合良好，硬度和导电率最大误差分别为4．1％和1．9％。通过对样本集的学习，建立了快速凝固时效工艺知识库，对预测和控制该工艺性能非常有益。 |
| 关 键 词： | Cu-Cr-Zr合金 快速凝固 时效 神经网络 ANN 知识库 |
| 文章编号： | 1009-6264(2003)03-0088-03 |
Establishment of an Aging Knowledge Base of Rapidly Solidified Cu-Cr-Zr Alloy Based on Artificial Neural-Network |
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| SU Juan-hua ,DONG Qi-ming ,LIU Ping ,LI He-jun ,KANG Bu-xi.Establishment of an Aging Knowledge Base of Rapidly Solidified Cu-Cr-Zr Alloy Based on Artificial Neural-Network[J].Transactions of Materials and Heat Treatment,2003,24(3):88-90. | |
| Authors: | SU Juan-hua DONG Qi-ming LIU Ping LI He-jun KANG Bu-xi |
| Affiliation: | SU Juan-hua 1,2,DONG Qi-ming 2,LIU Ping 2,LI He-jun 1,KANG Bu-xi 2 |
| Abstract: | A model is established to predict the aging properties of rapdily solidified Cu-Cr-Zr alloy based on the back propagation(BP) algorithm of the artificial neural network(ANN). The non-linear relationship between parameters of aging processes and mechancal and electrical properties of rapidly solidified Cu-Cr-Zr alloy is available. The predicted values of the ANN are in accordance with the tested data. The maxmium errors of hardness and conductivity are 4.1% and 1.9%. A knowledge base on the aging processes of rapidly solidified Cu-Cr-Zr alloy is established via sufficient data mining by the network. With the help of the knowledge base, the properties of rapidly solidified Cu-Cr-Zr alloy and its aging technology can be effectively predicted and controlled. |
| Keywords: | Cu-Cr-Zr alloy rapid solidifiation aging artificial neural network knowledge base |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |