【摘要】 把匹配抽象时间序列相似性的方法引入到地震预报的应用中,结合大量地震历史源数据,在地震领域的专家经验知识和相关成果基础上,提出了一种简化的抽象时间序列匹配模型。该模型在对海量数据进行预处理筛选的基础上再进行时间相似性匹配,增加了横向和纵向多方位地区和多方位时间段的匹配,不同时间差和阈值的匹配,并通过大量实验对该模型进行了反复验证,同时对我国地震频繁地区近几十年的地震历史数据进行了相似性匹配实验分析,取得了可信度较高的实验结果,实验结果验证了所给时间序列相似性匹配控制策略的有效性、实用性以及算法的优越性。更多还原

【Abstract】 Based on the historical earthquake catalogues,seismological experiences and achievement nowadays,we put forward a matching algorithm of the time series similarity to predict earthquake.This matching algorithm is a simplified time series similarity model.With this method,mass data is pre-processed,similarity matching processes are done and temporal and spatial matchings are added.At last we apply this method to the historical earthquake recordings for several dacades of seismic belts in China.Our calculation results show that this method is reliable,effective and applied.更多还原