| 路基病害识别算法与应用研究 |
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| 引用本文： | 邹华胜.路基病害识别算法与应用研究[J].地球物理学进展,2009,24(6):2302-2307. |
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| 作者姓名： | 邹华胜 |
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| 作者单位： | 温州大学瓯江学院,温州,325035 |
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| 基金项目： | 国家重点基础研究计划项目 |
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| 摘 要： | 本文通过对支持向量机原理以及路基病害特征的讨论和分析，提出了基于支持向量机的探地雷达回波信号识别算法；利用所提出的算法对探地雷达实测数据进行处理，试验结果表明该算法的识别效果优于神经网络算法，并且该算法克服了神经网络的过学习和局部极小值的缺点，是一种适合路基病害识别的高效算法.
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| 关 键 词： | 支持向量机 路基病害 探地雷达 信号识别 |
| 收稿时间： | 2009-1-15 |
| 修稿时间： | 2009-4-20 |
A study on roadbed disease recognition algorithm and application |
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| ZOU Hua-sheng.A study on roadbed disease recognition algorithm and application[J].Progress in Geophysics,2009,24(6):2302-2307. |
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| Authors: | ZOU Hua-sheng |
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| Institution: | (OujiangCollegeofWenzhouUniversity,Wenzhou325000,China) |
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| Abstract: | Based on analysis of the principle of support vector machines proposed characteristics of roadbed diseases, a new GPR echo signal recognition algorithm is proposed for identifying the ground-penetrating radar measured data. The result shows that this algorithm is better than the neural network recognition algorithm and overcomes the shortcomings of the local minimum value and over-learning. The algorithm is suitable for roadbed disease recognition and is an efficient algorithm. |
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| Keywords: | support vector machine roadbed disease ground penetrating radar signal recognition |
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