| 用人工神经网络实现地震记录中的废道自动切除 |
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| 引用本文： | 张学工,李衍达.用人工神经网络实现地震记录中的废道自动切除[J].地球物理学报,1992,35(5):637-643. |
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| 作者姓名： | 张学工 李衍达 |
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| 作者单位： | 清华大学自动化系北京 100084 |
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| 摘 要： | 切除废道（即道编辑）的工作是地震信号处理中重要而又工作量巨大的一步.本文提出了一种用人工神经网络实现的自动切除方法,所用的神经网络模型为新奇滤波器模型,方法简单实用,切除效果令人满意.文中介绍了方法的原理并给出了几个实验结果.
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| 关 键 词： | 自动道编辑 地震信号处理 人工神经网络 新奇滤波器 |
| 收稿时间： | 1991-08-10 |
AUTOMATIC EDITING OF NOISY SEISMIC DATA USING AN ARTIFICIAL NEURAL NETWORK APPROACH |
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| ZHANG XUE-GONO LI YAN-DA.AUTOMATIC EDITING OF NOISY SEISMIC DATA USING AN ARTIFICIAL NEURAL NETWORK APPROACH[J].Chinese Journal of Geophysics,1992,35(5):637-643. |
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| Authors: | ZHANG XUE-GONO LI YAN-DA |
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| Institution: | Department of Automation, Tsinghua University, Beijing 100084 |
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| Abstract: | Noise is a difficult problem in seismic data Those traces with dominating noise should be removed before processing. This editing work is labour consuming if done manually and is difficult for automation because the noises are of many different kinds. This paper provides an artificial neural network approach doing the automatic editing task. The neural model used is the Novelty Filter model. Using this approach, noisy trtces can be easily distincted from good ones disregarding their different kinds. Experments show that this approach is simple and efficient and the results are acceptable. |
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| Keywords: | Seismic signal processing Automatic editing Artificial neural networks Novelty filter |
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