FAM人工神经网络模型在震后趋势判断中的应用  

Application of Artificial Neural Networks FAM Model to Prediction of Seismic Trend after Main Shock

作　　者：丛沛桐[1] 薄景山[2] 刘红帅[2] 吴卫雄[1] 

机构地区：[1]华南农业大学水利与土木工程学院,广东广州510642 [2]中国地震局工程力学研究所,黑龙江哈尔滨150040

出　　处：《华南地震》2006年第4期1-7,共7页South China Journal of Seismology

摘　　要：介绍了FAM模糊人工神经网络的原理、学习方法与规则,提出了用于地震震后序列3种震型的判断标准及现场预报规则,建立了基于FAM人工神经网络模型的地震现场预报手段与准则。The principle, Learning and rules of Fuzzy Artificial Neural Network FAM Model are introduced in the paper. The judgment standards for three seismic sequence types after main shock and the on-the-spot predicting rules are put forward, and the on-the-spot predicting measurements and rules based on Fuzzy Artificial Neural Network FAM model are established.

关 键 词：FAM模型 人工神经网络 震后趋势判断 

分 类 号：P315.75[天文地球—地震学]