动态时间归整
相似性(几何)
图像扭曲
点(几何)
聚类分析
人工智能
地震动
领域(数学)
运动(物理)
计算机科学
模式识别(心理学)
计算机视觉
数学
工程类
几何学
结构工程
图像(数学)
纯数学
作者
Yingmin Li,Huiguo Chen,Zheqian Wu
摘要
The reasonability of artificial multi-point ground motions and the identification of abnormal records in seismic array observations, are two important issues in application and analysis of multi-point ground motion fields. Based on the dynamic time warping (DTW) distance method, this paper discusses the application of similarity measurement in the similarity analysis of simulated multi-point ground motions and the actual seismic array records. Analysis results show that the DTW distance method not only can quantitatively reflect the similarity of simulated ground motion field, but also offers advantages in clustering analysis and singularity recognition of actual multi-point ground motion field.
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