| 混沌噪声背景下检测微弱信号的神经网络方法分析 |
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| 引用本文： | 林红波,李月,马海涛,杨宝俊.混沌噪声背景下检测微弱信号的神经网络方法分析[J].地球物理学进展,2003,18(4):743-747. |
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| 作者姓名： | 林红波 李月 马海涛 杨宝俊 |
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| 作者单位： | 吉林大学,长春,130012 |
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| 基金项目： | 国家自然科学基金项目(40374045)资助. |
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| 摘 要： | 地震勘探资料的噪声许多呈现混沌现象，利用传统的去噪方法效果并不理想，如何根据混沌固有的性质，对地震勘探资料中的有效信号进行提取是许多科学工作者极为关注的问题，针对这种混沌噪声下的微弱信号检测，本文提出三种神经网络方法并对此进行比较，理论分析及仿真实验表明这三种神经网络在信噪比达到—37dB时，均能检测混沌噪声背景中的微弱信号。
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| 关 键 词： | BP神经网络 RBF神经网络 GRNN 混沌 微弱信号检测 |
| 文章编号： | 1004-2903(2003)04-0743-05 |
| 修稿时间： | 2003年6月30日 |
Analysis of neural network method for Chaos-Based weak harmonic signal detection |
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| LIN Hong-bo,LI Yue,YANG Bao-jun.Analysis of neural network method for Chaos-Based weak harmonic signal detection[J].Progress in Geophysics,2003,18(4):743-747. |
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| Authors: | LIN Hong-bo LI Yue YANG Bao-jun |
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| Abstract: | Most of noise mentioned in the data of seismic prospecting presents chaos, and it can not been removed ideally by traditional methods. It is a hot problem considered by many scientists that how to extract the valid signal in data of seismic prospecting with inherence of the chaos. To the detection of weak signal and the background of the chaos noise, there are three neural network methods are presented and compared in this paper. Theory analysis and simulation experiments show that these three neural network methods can all detect the weak signal embedded in the chaos noise background when SNR gets to -37dB. |
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| Keywords: | BP neural network RBF neural network GRNN chaos weak signal detection |
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