时空序列信息分析技术 SSIAT
对比研究了时间序列、空间序列、分形的分析体系,提出了在连续性基础上包容随机性的时空序列分析方法。
The time-space series analysis method containing randomicity on the base of continuity is formed after the analysis systems of time series, space series and fractals are compared.
结合时空系统机制和历史资料的分析,建立非线性时空序列预测理论与方法。
Simultaneously, the forecast theory and method of nonlinear time series is established, which combines mechanism of the time space system with analyzing historical data.
提出一种从地震目录中以时空耦合距离分析方法为基础,识别强震的前震和余震,并形成序列目录的新方法。
In this paper, a method for extracting an earthquake sequence from earthquake catalogue is presented based on the spatiotemporal coupling distance.
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