| 小波变换和BP神经网络模型在沉降变形监测中的应用研究 |
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| 引用本文： | 郑云云,陈姗姗,胡勇.小波变换和BP神经网络模型在沉降变形监测中的应用研究[J].测绘与空间地理信息,2019,42(2):101-103,107. |
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| 作者姓名： | 郑云云 陈姗姗 胡勇 |
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| 作者单位： | 重庆市国土资源和房屋勘测规划院,重庆401120;重庆市土地利用与遥感监测工程技术研究中心,重庆401120;国家遥感应用工程技术研究中心重庆分中心,重庆401120;重庆市渝中区国土资源管理分局,重庆,401120 |
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| 基金项目： | 科技计划;住建部科技项目 |
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| 摘 要： | 变形预测在预报工程险情方面起着关键性的作用,针对施工中需及时、准确地预测变形的问题,本文利用小波变换原理对监测数据进行降噪处理,并采用BP神经网络分析不同训练样本下的预测效果和精度水平。实验结果表明:基于小波消噪后的BP网络模型,以连续的近期观测数据作为训练样本,对下期变形预测精度高,效果好,相对误差很小。因此,小波变换和BP神经网络模型在沉降变形监测工程中能作为预测研究与应用的参考。
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| 关 键 词： | 变形监测 小波消噪 BP网络模型 预测精度 |
Application of Wavelet De-noising and BP Neural Network Model in Settlement Deformation Monitoring |
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| ZHENG Yunyun,CHEN Shanshan,HU Yong.Application of Wavelet De-noising and BP Neural Network Model in Settlement Deformation Monitoring[J].Geomatics & Spatial Information Technology,2019,42(2):101-103,107. |
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| Authors: | ZHENG Yunyun CHEN Shanshan HU Yong |
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| Institution: | (Chongqing Institute of Surveying and Planning for Land Resources and Housing,Chongqing 401120,China;Yuzhong District Land and Resources Management Branch of Chongqing,Chongqing 401120,Chian;Chongqing Engineering Research Center of Land Use and Remote-Sense Monitoring,Chongqing 401120,China;Chongqing Branch of National Remote Sensing Application Engineering Technology Center,Chongqing 401120,China) |
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| Abstract: | ZHENG Yunyun;CHEN Shanshan;HU Yong(Chongqing Institute of Surveying and Planning for Land Resources and Housing,Chongqing 401120,China;Yuzhong District Land and Resources Management Branch of Chongqing,Chongqing 401120,Chian;Chongqing Engineering Research Center of Land Use and Remote-Sense Monitoring,Chongqing 401120,China;Chongqing Branch of National Remote Sensing Application Engineering Technology Center,Chongqing 401120,China) |
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| Keywords: | deformation monitoring wavelet de-noising BP neural network model prediction accuracy |
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