Research on Method of RBF Network Predicting Attenuation of Earthquake Peak Ground Acceleration
Seismic peak ground acceleratio(PGA) is one of the important factors for reflecting the potential earthquake risk. PGA attenuation model commonly used assumed mathematical model, the use of regression analysis to establish the relevant parameters, but the model itself invariance restrictions on the range and accuracy. This paper proposes the application of RBF neural network model predicted PGA attenuation, the steps of RBF network structure elements and parameters are analysised. With example the research vertify that the predictive value base on the RBF neural netowrk model is more consistent with the actual value. The analytic method and process discussed in this paper can also be applied to calculate and draw up the seismic ground motion parameter zonatio in different region.
PGA RBF network Attenuation prediction
Ling Wang Bo Liu Jiashun Zhang
Civil Engineering College, Hebei University of Technology Tianjin City, China
国际会议
成都
英文
1343-1346
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）