| 焊条熔敷金属抗拉强度预报神经网络模型 |
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| 引用本文： | 徐越兰,黄俊,王克鸿,张霞,张振江.焊条熔敷金属抗拉强度预报神经网络模型[J].兵器材料科学与工程,2004,27(3):30-33. |
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| 作者姓名： | 徐越兰 黄俊 王克鸿 张霞 张振江 |
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| 作者单位： | 南京理工大学,材料科学与工程系,南京,210094;南京电焊条厂,南京,210012 |
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| 摘 要： | 基于人工神经网络原理,以酸性焊条配方为研究对象,在生产数据支持的基础上,建立了反映焊条配方与熔敷金属抗拉强度之间映射关系的神经网络模型。采用BP算法训练网络。研究结果表明,该模型预测的结果同生产实际值之间有很好的对应关系。根据网络估测的结果可定量地进行焊条性能预报。为焊条的设计提供了一种科学方法。
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| 关 键 词： | 人工神经网络 焊条设计 性能预报 |
| 文章编号： | 1004-244X(2004)03-0030-04 |
| 修稿时间： | 2003年10月15日 |
Tensile strength prediction of deposition metal of welding electrodes by artificial neural network |
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| XU Yue - lan,HUANG Jun,WANG Ke - hong,ZHANG Xia,ZHANG Zheng - jiang.Tensile strength prediction of deposition metal of welding electrodes by artificial neural network[J].Ordnance Material Science and Engineering,2004,27(3):30-33. |
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| Authors: | XU Yue - lan HUANG Jun WANG Ke - hong ZHANG Xia ZHANG Zheng - jiang |
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| Affiliation: | XU Yue - lan,HUANG Jun,WANG Ke - hong,ZHANG Xia,ZHANG Zheng - jiang Department of Materials Science and Engineering,NUST,Nanjng 210094,China Nanjing Factory of Electrodes,Nangjing 210012,China |
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| Abstract: | In this paper, based on the principle of Artificial Neural Network, a new approach is provided to predict the
mechanical properties of electrodes. A prediction model of mechanical properties for welding rods was built on the basis of
production data. In the research, a back propagation algorithm is used as the neural network learning rule. The results show:
there are good correlations between the predicted results and the practical production data. Based on the estimated results of
the network, the properties of electrodes can be predicted quantitatively. This research provides a more scientific method for
welding rod design. |
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| Keywords: | artificial neural network welding rod design property prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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