| 目标地震动信号的特征提取及识别研究 |
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| 引用本文： | 蓝金辉,李虹,周兆英.目标地震动信号的特征提取及识别研究[J].振动与冲击,2001,20(4):42-44. |
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| 作者姓名： | 蓝金辉 李虹 周兆英 |
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| 作者单位： | 1. 清华大学精密仪器与机械学系,北京,100084
2. 华北工学院机械工程系 |
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| 摘 要： | 地面目标的地震动信号是目标识别的关键，本文研究了机动目标地震动特性，总结出目标的地震动信号的特征提取规律，并将神经网络方法用于目标的地震动信号的分类识别中。给出了识别结构及改进的BP算法，并将改进的BP算法用于实际目标的地震动信号的分类识别，得到令人满意的结果。
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| 关 键 词： | 地震动探测 神经网络 目标识别 特征提取 BP算法 地震动信号 地震波 |
| 修稿时间： | 2001年1月20日 |
Research on Feature Extraction of Seismic Signal for Vehicle Targets and Neural Networks Recognition |
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| Lan Jinhui Li Hong,Zhou Zhaoying.Research on Feature Extraction of Seismic Signal for Vehicle Targets and Neural Networks Recognition[J].Journal of Vibration and Shock,2001,20(4):42-44. |
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| Authors: | Lan Jinhui Li Hong Zhou Zhaoying |
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| Affiliation: | Lan Jinhui Li Hong * Zhou Zhaoying |
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| Abstract: | The seismic properties of typical vehicle targets are studied and artificial neural network (ANN) technology is applied to recognition of seismic signal for target.An improved BP algorithm is presented which is used for classification and recognition of seismic signal for vehicle target under special outdoor environment.It can be confirmed that ANN is effective to solve the problem of classification and recognition of seismic signal for vehicle target. |
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| Keywords: | seismic detection neural networks target recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
