首页 | 本学科首页   官方微博 | 高级检索  
     检索      

人工神经网络系统在接收函数反演中的应用
引用本文:蔡水库,王有学.人工神经网络系统在接收函数反演中的应用[J].地球物理学进展,2007,22(6):1916-1920.
作者姓名:蔡水库  王有学
作者单位:1. 海南地质综合勘察设计院,海口,570206
2. 桂林工学院资源与环境工程系,桂林,541004
基金项目:中国科技部与美国科学基金(US NSF)共同资助的课题
摘    要:为使接收函数的反演更为简便,本文提出了一种基于人工神经网络误差反传(BP)算法的接收函数反演新方法,该方法采用人工神经网络反演系统,避免了接收函数反演过程中复杂的地震响应计算及耗时的雅可比矩阵计算,只需经过学习训练就能够解决复杂的实际问题,而且具有记忆功能,这使接收函数的反演工作具有延续性和可继承性.理论数据的反演计算结果表明,该方法是切实可行的.

关 键 词:接收函数  人工神经网络  BP算法  速度结构反演
文章编号:1004-2903(2007)06-1916-05
收稿时间:2007-09-10
修稿时间:2007-10-20

New inversion method of artificial neural network in receiver functions inversion
CAI Shui-ku,WANG You-xue.New inversion method of artificial neural network in receiver functions inversion[J].Progress in Geophysics,2007,22(6):1916-1920.
Authors:CAI Shui-ku  WANG You-xue
Institution:(1.HainanGeologicalSurvey,Haikou570206,China;2.DepartmentofResourceandEnvironmentalEngineering,GuilinInstituteofTechnology,Guilin541004,China)
Abstract:A new inversion method of artificial neural network is presented for the purpose of simplification and more general application for the inversion method in receiver functions research.On the basis of back propagation(BP) algorithm,an adaptive inversion system of artificial neural network had been designed and developed.The system avoids complicated calculations of seismic response and Jacobi matrix.It also can be used to solve some practical problem through learning and training.This method can memorize and make the inversion a continuous process which depends not only on current event but also the previous event.
Keywords:receiver functions  artificial neural net work  BP algorithm  inversion of velocity
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《地球物理学进展》浏览原始摘要信息
点击此处可从《地球物理学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号