摘要
为探讨精细预测地震影响系数分布的计算方法,在分析场地条件、基岩条件和特殊地质现象等影响因素基础上,应用人工神经网络方法定量分析各因素间的相关性,建立预测模型,并以唐山市为实证研究对象,运用GIS软件,绘制出地震影响系数分布图,对场地选择与土地利用提出了建议。
To predict accurately, calculating method of earthquake affecting coefficient that is one of the most important factors in earthquake response spectra is discussed. Based on analysis of site condition, basement rock condition and special geological condition, prediction model is constructed by artificial neural network method and the distribution of earthquake affecting coefficient in Tangshan city is calculated using GIS software. Some suggestions for the site selection and land use are given in the end.
出处
《辽宁工程技术大学学报（自然科学版）》
EI
CAS
北大核心
2005年第6期825-828,共4页
Journal of Liaoning Technical University (Natural Science)
基金
河北省科学技术研究基金资助项目(03276901)
关键词
反应谱
神经网络
唐山
地震影响系数
土地利用
response spectra
artificial neural network
Tangshan
earthquake affecting coefficient
land use
