| 基于BP-GA算法的微震源反演研究 |
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| 引用本文： | 于淼,陈祖斌,王连飞.基于BP-GA算法的微震源反演研究[J].电子技术应用,2013,39(5):135-137. |
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| 作者姓名： | 于淼 陈祖斌 王连飞 |
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| 作者单位： | 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;国家地球物理探测仪器工程技术研究中心,吉林长春130061 |
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| 基金项目： | 公益性行业科研专项课题，国家自然科学基金项目 |
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| 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。
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| 关 键 词： | BP神经网络 遗传算法 微震源 反演 |
Research on BP-GA mixture algorithm in micro-seismic source inversion |
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| Yu Miao
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Chen Zubin
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Wang Lianfei.Research on BP-GA mixture algorithm in micro-seismic source inversion[J].Application of Electronic Technique,2013,39(5):135-137. |
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| Authors: | Yu Miao Chen Zubin Wang Lianfei |
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| Abstract: | 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. |
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| Keywords: | BP neural network genetic algorithm micro-seismic source inversion |
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