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| 集成神经网络信息融合技术在刚性路面脱空识别中的应用 | |
| 引用本文： | 彭永恒,王志丹,昂雪野,张肖宁.集成神经网络信息融合技术在刚性路面脱空识别中的应用[J].公路交通科技,2005,22(7):36-40. |
| 作者姓名： | 彭永恒 王志丹 昂雪野 张肖宁 |
| 作者单位： | 1. 哈尔滨工业大学交通学院,黑龙江,哈尔滨,150001;大连民族学院土建系,辽宁,大连,116600 2. 大连民族学院土建系,辽宁,大连,116600 3. 华南理工大学道路工程研究所,广东,广州,510641 |
| 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的途径。 |
| 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： | 1002-0268(2005)07-0036-05 |
| 修稿时间： | 2004年4月27日 |
Acoustic Identifying of Rigid Pavement Cavity Based on Integrated Neural Networks |
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| PENG Yong-heng,Wang Zhii-dan,ANG Xue-ye,ZHANG Xiao-ning.Acoustic Identifying of Rigid Pavement Cavity Based on Integrated Neural Networks[J].Journal of Highway and Transportation Research and Development,2005,22(7):36-40. | |
| Authors: | PENG Yong-heng Wang Zhii-dan ANG Xue-ye ZHANG Xiao-ning |
| Abstract: | Based on the ability of integrated neural network in classification and identifying,an integrated neural network was applied in identifying rigid pavement cavity through acoustic feature extraction in the frequency domain obtained by acoustic responses on knocking the rigid pavement.It is shown that the method of extracting the feature and establishing the integrated neural network model are effective for identifying cavity under rigid pavement. |
| Keywords: | Road engineering Rigid pavement Integrated neural network Acoustic identifying Cavity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |