| 刚性路面脱空声识别集成神经网络方法 |
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| 引用本文： | 彭永恒,任瑞波,罗跃纲,张肖宁.刚性路面脱空声识别集成神经网络方法[J].中南公路工程,2005,30(3):15-18,52. |
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| 作者姓名： | 彭永恒 任瑞波 罗跃纲 张肖宁 |
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| 作者单位： | [1]哈尔滨工业大学交通学院,黑龙江哈尔滨150001 [2]山东建筑工程学院土木工程系,山东济南250014 [3]大连民族学院土建学院,辽宁大连116600 [4]华南理工大学交通学院,广东广州510641 |
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| 基金项目： | 国家自然科学基金项目（50078023/E0809）. |
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| 摘 要： | 基于集成神经网络对刚性路面脱空声的识别与分类能力,用简单的敲击法获取了刚性路面的声响应信号,通过对声信号的频域特征提取,应用集成神经网络对刚性路面脱空状况进行了识别.实验表明所给出的特征提取方法和集成神经网络模型是解决刚性路面脱空识别的一条较为有效途径.
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| 关 键 词： | 道路工程 刚性路面 集成神经网络 声识别 脱空 |
| 文章编号： | 1002-1205（2005）03-0015-04 |
| 收稿时间： | 2004-07-11 |
| 修稿时间： | 2004-07-11 |
Void Acoustic Identifying of Rigid Pavement Based on Integrated Neural Network |
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| PENG Yongheng, REN Suibo, LUO Yuegang, ZHANG Xiaoning.Void Acoustic Identifying of Rigid Pavement Based on Integrated Neural Network[J].Central South Highway Engineering,2005,30(3):15-18,52. |
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| Authors: | PENG Yongheng REN Suibo LUO Yuegang ZHANG Xiaoning |
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| Institution: | 1.School of Communications, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China; 2. Department of Civil Engineering, Shandong Architecture and Civil Engineering College, Jinan, Shandong 250014, China; 3. Department of Civil Engineering and Architecture, Dalian Nationalities University, Dalian, Liaoning 116600, China; 4. College of Communications, South China University of Technology, Guangzhou, Guangdong 510641, China |
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| Abstract: | An experiment was conducted by simple knocking a rigid pavement to identify void under neath using integrated neural network. The frequency domain features of acoustic signals were then extracted for the identification. Results of the experiment showed that feature extraction method and the integrated neural network model used in this paper are effective in identifying void underneath rigid pavement. |
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| Keywords: | road engineering rigid pavement integrated neural network acoustic identifying void |
| 本文献已被 CNKI 维普 等数据库收录！ |
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