| 拟动力试验中设备误差修正的人工神经网络方法 |
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| 引用本文： | 杜芳.拟动力试验中设备误差修正的人工神经网络方法[J].振动与冲击,1998,17(3):29-33. |
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| 作者姓名： | 杜芳 |
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| 作者单位： | 同济大学工程结构研究所 |
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| 摘 要： | 结构拟动力试验中,误差累积是影响试验成功的主要因素之一,本文针对其中的设备误差采用人工神经网络的方法在试验的每一步进行检出修正,取得效果。
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| 关 键 词： | 拟动力试验 神经网络 误差修正 |
RECTIFICATION OF EQUIPMENT ERROR FOR PSEUDO-DYNAMIC TEST BY ARTIFICIAL NEURAL NETWORK METHOD |
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| Du Fang Institute of Engineering Structures,Tongji University,Shanghai,China.RECTIFICATION OF EQUIPMENT ERROR FOR PSEUDO-DYNAMIC TEST BY ARTIFICIAL NEURAL NETWORK METHOD[J].Journal of Vibration and Shock,1998,17(3):29-33. |
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| Authors: | Du Fang Institute of Engineering Structures Tongji University Shanghai China |
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| Affiliation: | Du Fang Institute of Engineering Structures,Tongji University,Shanghai,200092,China |
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| Abstract: | Error growth is one of the influential factors in the procedure of pseudo-dynamic test of structures. An artificial neural network method to reduce the equipment error in each testing step is proposed in the paper. The test results show the effectiveness of the method presented. |
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| Keywords: | error growth pseudo-dynamic test artificial neural network |
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