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《Earthquake Resistant Engineering and Retrofitting》 2007-05
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Prediction of Structural Dynamic Response with RBF Neural Network

Guo Jian-hong,Liu Jian-xin,Zhang Li-juan(College of Architecture Engineering,Shanghai Normal University,Shanghai 201418,China)  
Structural active control is more efficient in the control of seismic response,which makes active control have wide application prospect in the field of structural vibration control.But it is hard to establish an accurate mathematics model for the active control which has the problem of time lag.Neural network doesn't need to establish accurate mathematics model,it sums up the relation implicit in the systematic input and output through studying the input and output training sample data.By applying neural network to predict structural response,the problem of time lag in active control may be solved and the basis for controlling decision is offered.A new method for the structural active control may be offered by predicting the structural response with RBF neural network.
【CateGory Index】: TU311.3
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