| 英文摘要 |
The applications of strong motion measurement in buildings are popular recently as the strong motion measurement data are getting more abundant. There are many researches about structural identification using these measurement data. The conventional ways in system identification such as AR, ARX and ARMAX are familiar. These methods have good estimation performance in linear type of problems. The artificial intelligent algorithm may be a good alternative for the nonlinear case. In this study, a new artificial intelligent called support vector machine(SVM) was adopted for structural system identification. This algorithm can be used for the classification, regression and clustering problems. |
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