| 基于BP神经网络的桥梁技术状态评估 |
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| 引用本文： | 向木生,陈健,刘瑞.基于BP神经网络的桥梁技术状态评估[J].交通科技,2011(5):41-44. |
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| 作者姓名： | 向木生 陈健 刘瑞 |
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| 作者单位： | 武汉理工大学交通学院;内蒙古交通设计研究院有限责任公司; |
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| 摘 要： | 用养护规范中17个评价指标作为输入层网络神经元,把桥梁损伤等级参数作为输出层神经元,建立了桥梁评估3层BP神经网络模型.选用湖北省110座旧桥的评估数据作为训练样本,后10个作为测试样本,经过2 068次迭代运算的网络训练,得到了误差满足精度要求的收敛网络.将待评估的桥梁参数输入训练好的网络,得到评估桥梁的技术状态等级...
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| 关 键 词： | 桥梁评估 BP神经网络 桥梁技术状态 |
Assessment of the Bridge Technical State Based on the BP Neural Network |
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| Xiang Musheng,Chen Jian,Liu Rui.Assessment of the Bridge Technical State Based on the BP Neural Network[J].Transportation Science & Technology,2011(5):41-44. |
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| Authors: | Xiang Musheng Chen Jian Liu Rui |
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| Institution: | Xiang Musheng1,Chen Jian1,Liu Rui2(1.School of Transportation,Wuhan University of Technology,Wuhan 430063,China,2.Inner Mongolia Communications of Transportation Design & Research Co.,Ltd.,Huhehaote 010010,China) |
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| Abstract: | With 17 evaluation index of the bridge maintenance standard as input layers neurons,the bridge damage level parameters as the output layer neurons,the paper established a 3 layer BP neural network model of bridge assessment.The paper choused the evaluation data of 110 old bridges in Hubei province as the training samples,10 of them for test samples.Through 2068 iterations computing by network training,the paper obtained a convergence network,whose error meets the demand of precision.Input the bridge paramet... |
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| Keywords: | bridge assessment BP neural network technical state of bridges |
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