| 改进的神经网络反演微动面波频散曲线 |
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| 引用本文： | 周晓华,林君,陈祖斌,焦健,郭同健.改进的神经网络反演微动面波频散曲线[J].吉林大学学报(地球科学版),2011,41(3):900-906. |
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| 作者姓名： | 周晓华 林君 陈祖斌 焦健 郭同健 |
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| 作者单位： | 1.吉林大学仪器科学与电气工程学院,长春130026;2.中国科学院长春光学精密机械与物理研究所,长春130033 |
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| 基金项目： | 中央高校基本科研业务费专项基金项目(421033784537) |
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| 摘 要： | 通过分析微动探查方法和改进神经网络迭代反演算法，提出采用改进的神经网络迭代反演微动面波频散曲线。该方法在网络训练学习阶段通过批处理学习和优化网络结构提高网络学习速度；在迭代反演阶段通过vR/λR-f曲线极值点的变化来调整输入模型以减少迭代反演次数；最后设计反演方案，并对6层介质模型进行频散曲线的网络训练和迭代反演，验证了方法的有效性。对比分析结果表明：该方法明显减少了迭代反演次数，提高了收敛速度，而且具有良好的抗干扰能力。
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| 关 键 词： | 改进BP神经网络 微动 频散曲线 面波 迭代反演 |
| 收稿时间： | 2010-07-01 |
Iterative Inversion of Microtremor Surface Wave Dispersion Curves by Improved Neural Network |
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| ZHOU Xiao-hua,LIN Jun,CHEN Zu-bin,JIAO Jian,GUO Tong-jian.Iterative Inversion of Microtremor Surface Wave Dispersion Curves by Improved Neural Network[J].Journal of Jilin Unviersity:Earth Science Edition,2011,41(3):900-906. |
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| Authors: | ZHOU Xiao-hua LIN Jun CHEN Zu-bin JIAO Jian GUO Tong-jian |
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| Institution: | 1.College of Instrumentation and Electrical Engineering, Jilin University, Changchun130026,China;
2.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun130033, China |
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| Abstract: | An iterative inversion of microtremor surface wave dispersion curves by improved neural network is proposed. The learning speed is improved by batch processing and optimizing the network structure in network training. In order to reduce the iteration number of the inversion, the input model is adjusted according to the changes of the extreme points of vR/λR-f curve during the inversion. The inversion program is designed and applied to the inversion of dispersion curve from a six-layer model to validate the method. The results show that the method can reduce the iteration number significantly and improve the convergence rate, while is of good anti-noise capability. |
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| Keywords: | improved BP neural networks microtremor dispersion curve surface waves iterative inversion |
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