摘要
用MATLAB语言建立径向基概率神经网络来求解地震潜在震源区的划分问题,地震潜在震源区划分是地震危险性安全评价工作的重点,影响潜在震源区的客观因素与潜在震源区划分结果间是一种高度非线性关系,将实际问题分析为网络的模式识别,以华南沿海地区为例检验优化网络,结果较好地对应了中国地震烈度区划图(1990),该方法是对潜在震源区智能划分的一次有效尝试。
The authors use MATLAB to build the neural network to do delineation of the potential seismic sources. There are many factors to be impacted on the delineation. The factors and the result are of high nonlinear relationship. The authors take the Coastal Region of South China(CRSC) as study area, after the samples' checking up and then optimizing the network, simulating again. The results accord with the actual conditions. This show that the Radial Basis Probabilistic Neural Network (RBPNN) has the practicability in delineation of the potential seismic sources.
出处
《北京大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2005年第6期869-874,共6页
Acta Scientiarum Naturalium Universitatis Pekinensis