信息检索和灰色关联度在震群归类分析中的应用

APPLICATION OF INFORMATION RETRIEVAL AND GREY INCIDENT IN SHOCK SWARM CLASSIFICATION

采用模糊数学中的信息检索和灰关联分析方法,对震群活动的类型进行识别。在信息检索分析中,将震群参数中的b值、u值、ρ值、H值、和K值作为信息的特征量,对检索前震序列和前兆性震群的效果较好。在灰关联分析中,加入震级差ΔM和最大震级Mo,共7个参数作为关联因子,对前震序列、前兆性震群和非前兆性震群的归类分析,均取得了明显的效果。结果表明,信息检索和灰关联分析方法,对震群活动类型的进一步识别,具有重要的使用价值。

This paper attempts to recognize categories of swarm activity by means of information retrival and grey incident analysis in fuzzy math. We take b, u, ρ, H and K-value in swarm parameters for information retrival to analyze as characteristic value of information, and ob- taine better effect to recognize foreshock sequence and precursor swarm. Increasing magni- tude difference ΔM and the largest magnitude Mo, altogether 7 parameters are taken as inci- dent factors in grey incident analysis. The results show that the method of information re trival and grey incident analysis possess important applied value for recognition of categories of swarm altivity.