华南沿海潜在震源区划分——运用MATLAB径向基概率神经网络工具箱求解

北京大学学报（自然科学版）

华南沿海潜在震源区划分——运用MATLAB径向基概率神经网络工具箱求解

赵健¹,郑文涛¹,叶洪²,周庆²

收稿日期:2005-01-28 出版日期:2005-11-20 发布日期:2005-11-20

Delineation of Coastal Region of South China - With MATLAB to Create Radial Basis Probabilistic Neural Network

ZHAO Jian¹, ZHENG Wentao¹, YE Hong², ZHOU Qing²

Received:2005-01-28 Online:2005-11-20 Published:2005-11-20

摘要/Abstract

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。

关键词: 潜在震源区划分, 华南沿海, 非线性关系, 径向基概率神经网络, MATLAB

Abstract: 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 non-linear 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.

Key words: delineation of the potential seismic sources, Coastal Region of South China, non-linear relationship, RBPNN, MATLAB

中图分类号:

P315.5

赵健,郑文涛,叶洪,周庆. 华南沿海潜在震源区划分——运用MATLAB径向基概率神经网络工具箱求解[J]. 北京大学学报（自然科学版）.

ZHAO Jian,ZHENG Wentao,YE Hong,ZHOU Qing. Delineation of Coastal Region of South China - With MATLAB to Create Radial Basis Probabilistic Neural Network[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.

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链接本文: https://xbna.pku.edu.cn/CN/

https://xbna.pku.edu.cn/CN/Y2005/V41/I6/869

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