| 基于自组织神经网络的实时统计特征抽取方法 |
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| 引用本文： | 胡雄,沈一飞.基于自组织神经网络的实时统计特征抽取方法[J].振动工程学报,1998,11(1):96-101. |
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| 作者姓名： | 胡雄 沈一飞 |
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| 作者单位： | 上海交通大学机械设备诊断中心，上海海运学院机械工程系 |
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| 摘 要： | 应用人工神经网络讨论统计了特征抽取的原理，提出了相应的抽取方法。该方法具有实时性，容错性，高数据压缩率和良好的特征分辨率。通过计算机仿真和桥梁索力状态的实例计算分析证实了该技术具有广泛的应用价值。
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| 关 键 词： | 桥梁测量 神经网络 诊断系统 特征抽取 自组织 |
Extracting Real Time Statistical Feature Based on Self Organizing Neural Network |
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| Hu,Xiong,Chen,Zhaoneng,Tong,Dechun,Zhu,Jimei.Extracting Real Time Statistical Feature Based on Self Organizing Neural Network[J].Journal of Vibration Engineering,1998,11(1):96-101. |
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| Authors: | Hu Xiong Chen Zhaoneng Tong Dechun Zhu Jimei |
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| Abstract: | This paper presents the discussion on the principle of statistical feature extraction,and a method of statistical feature extraction using artificial neural network.This method has some characteristics such as real time,robustness,high data compression and good feature resolution.This technique can be widely used for computer simulation and force calculation of stayed cables. |
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| Keywords: | bridge survey neural networks diagnostic system feature extract |
| 本文献已被 CNKI 维普 等数据库收录！ |
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