集成遗传算法及BP算法的潜在震源区划分  

DEMARCATION OF POTENTIAL SEISMIC SOURCES ON INTEGRATION OF GENETIC ALGORITHM AND BP ALGORITHM

作　　者：周庆[1] 叶洪[1] 

机构地区：[1]中国地震局地质研究所,中国北京100029

出　　处：《地震学报》2002年第6期647-652,共6页Acta Seismologica Sinica

基　　金：中国地震局"十五"重点项目(地震安全性评价研究与结构抗震研究); 科技部专项(2001DEB30078)共同资助.

摘　　要：以华南沿海地区为例,集成遗传算法与BP算法进行潜在震源区的划分. 用遗传算法辅助人工神经网络的设计,在无限的解空间中快速找到人工神经网络的最佳参数组合. 结果表明:由该分类系统划分出的不同震级上限的潜在震源区分布,反映了华南沿海地区地震环境与地震发生的内在规律性,从而减少了人的主观判断影响.In this paper potential seismic sources in coastal region of South China are identified by integration of genetic algorithm and back propagation (BP) algorithm. GA is used for finding the best parameter combination rapidly in an infinite solution space for artificial neural networks (ANN). The results show that the distribution of potential seismic sources with different upper magnitude demarcated by this classifier is mostly satisfied the intrinsic relationship between seismic environment and earthquake occurrence, with less effect from subjective judgment of human being.

关 键 词：集成遗传算法 BP算法 华南地区 地理信息系统 潜在震源区 

分 类 号：P315.33[天文地球—地震学]