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| 引用本文： | 秦世伟,谷川,潘国荣.����GA�Ľ�������Ƶ�ʳɷֱ�ʶ[J].大地测量与地球动力学,2008,28(4):121-124. |
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| 作者姓名： | 秦世伟 谷川 潘国荣 |
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| 作者单位： | 1. 同济大学测量与国土信息工程系,上海,200092;上海大学土木工程系,上海,200072
2. 同济大学测量与国土信息工程系,上海,200092 |
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| 摘 要： | ????????????????????????????????????????????????????????????????????????????·???????GA?????????????GA??????????????????????????????????????????????????????????????????????? ???????????????????????????????齨??????????????????????????????????????????????????????б?????????????GA??????????????????
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| 关 键 词： | ??????? ???????? ????? ?????? ?????? |
MULTI-FREQUENCY COMPONENT ANALYSIS OF BUILDING OSCILLATION BASED ON GA |
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| Qin Shiwei,Gu Chuan,Pan Guorong.MULTI-FREQUENCY COMPONENT ANALYSIS OF BUILDING OSCILLATION BASED ON GA[J].Journal of Geodesy and Geodynamics,2008,28(4):121-124. |
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| Authors: | Qin Shiwei Gu Chuan Pan Guorong |
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| Institution: | 1)Department of Surveying and Geo-Informatics, Tongji University, Shanghai 2000922)Department of Civil Engineering, Shanghai University, Shanghai 200072 |
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| Abstract: | Multi-frequency component analysis method of building oscillation signal based on spectral analysis proposed previously is an approximate one,as the error is quite large.A new method based on genetic algorithm(GA)is proposed in this paper.In order to explain the advantages of GA identification method compared with spectral identification method and the feasibility of the application to multi-frequency component analysis of building oscillation signal,a set of simulated signal(without noise and with random white noise)and a set of building oscillation observations were adopted.Both the methods were applied to analyze the multi-frequency components of both sets of signal and the results were compared.Comparison consequence indicates that GA identification method has superiority over spectral identification method,and can be preferably used in actual engineering. |
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| Keywords: | multi-frequency component building oscillation genetic algorithm(GA) spectral analysis simulative test |
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