| 基于神经网络和滤波技术的贮仓结构参数识别 |
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| 引用本文： | 董清华,黄义.基于神经网络和滤波技术的贮仓结构参数识别[J].世界地震工程,2005,21(3):116-121. |
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| 作者姓名： | 董清华 黄义 |
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| 作者单位： | 西安建筑科技大学,土木工程学院,陕西,西安,710055 |
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| 摘 要： | 利用神经网络和Kalman滤波技术，提出了一种直接识别结构物理参数的方法，用Kalman滤波技术训练网络。在贮仓振动台实验的基础上，用贮仓在动载作用下的位移、速度作为网络的输入，激振加速度和响应加速度作为网络的输出。仿真计算表明，本文方法是可行的。
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| 关 键 词： | 识别 神经网络 Kalman滤波 |
| 文章编号： | 1007-6069(2005)03-0116-06 |
| 收稿时间： | 2005-03-21 |
| 修稿时间： | 2005-06-21 |
Parameter identification of silo using neural network and Kalman filter algorithms |
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| DONG Qing-hua,HUANG Yi.Parameter identification of silo using neural network and Kalman filter algorithms[J].World Information On Earthquake Engineering,2005,21(3):116-121. |
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| Authors: | DONG Qing-hua HUANG Yi |
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| Abstract: | A method to identify the physical parameters of structure system has been developed by using neural network. The Kalman filtering technique is applied to modify the weight matrices of neural network. Based on the shaking table test,we compose a neural network in which the input signals are the response displacement and velocity of the silo, and output signals are the response acceleration of the silo plus input acceleration of the shaking table at time step t . Results from computer simulation studies show that this method is valid and feasible. |
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| Keywords: | identification neural network the Kalman filter algorithms |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
