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.
出处
《电子技术应用》
北大核心
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)
关键词
BP神经网络
遗传算法
微震源
反演
BP neural network
genetic algorithm
micro-seismic source
inversion
