基于BP-GA算法的微震源反演研究  

Research on BP-GA mixture algorithm in micro-seismic source inversion

作　　者：于淼[1,2] 陈祖斌[1,2] 王连飞[1,2] 

机构地区：[1]吉林大学地球信息探测仪器教育部重点实验室,吉林长春130061 [2]国家地球物理探测仪器工程技术研究中心,吉林长春130061

出　　处：《电子技术应用》2013年第5期135-137,共3页Application of Electronic Technique

基　　金：公益性行业科研专项课题(201011081);国家自然科学基金项目(41074074)

摘　　要：针对传统非线性反演方法易陷入局部最优,收敛速度慢等问题,研究了一种基于BP神经网络和遗传算法的微震源定位反演方法。重点论述了BP-GA混合算法的理论基础与模型建立,并结合实例进行了3层介质模型微震源定位反演仿真。For the defects of traditional nonlinear inversion methods, such as easy to fall into local optimum resolution and slow rate of convergence, a micro-seismic source positioning inversion method based on BP-GA algorithm has been proposed. The design model and theory of the BP-GA hybrid algorithm is discussed in this paper. It also describes the method of data analysis and processing in Matlab with instances.

关 键 词：BP神经网络 遗传算法 微震源 反演 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]