| 钢材含碳量电磁检测神经网络模型 |
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| 引用本文： | 胡万华,李继山.钢材含碳量电磁检测神经网络模型[J].无损检测,2000,22(10):454-455,474. |
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| 作者姓名： | 胡万华 李继山 |
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| 作者单位： | 华东交通大学机械学院,南昌,330013 |
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| 摘 要： | 提出一种基于神经网络的钢材含碳量电磁检测模型，以钢材的磁参量作为系统输入，对应含碳量为系统输出，采用ＢＰ算法，实现了含碳量的智能化检测。实际检验表明其具有良好的效果。
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| 关 键 词： | 含碳量 神经网络模型 BP网络 钢材 电磁检测 |
ELECTROMAGNETIC TESTING MODEL FOR THE CARBON CONTENT IN STEELS BASED ON NEURAL NETWORKS |
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| Hu Wanhua,Li Jishan.ELECTROMAGNETIC TESTING MODEL FOR THE CARBON CONTENT IN STEELS BASED ON NEURAL NETWORKS[J].Nondestructive Testing,2000,22(10):454-455,474. |
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| Authors: | Hu Wanhua Li Jishan |
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| Affiliation: | Hu Wanhua
,Li Jishan
;(Mechanical Engineering Department, East China Jiaotong University, Nanchang) |
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| Abstract: | The electromagnetic testing model for the carbon content in steels based on neural networks was proposed. With magnetic parameters as imput and carbon content as output, carbon content intelligent testing was realized by BP algorithm. Practical testing showed the the effectiveness of the model. |
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| Keywords: | Carbon content Steel Electromagnetic testing Signal processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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