| 基于GA-LMBP网络模型的小浪底大坝3维变形预报分析 |
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| 引用本文： | 王新志,陈伟. 基于GA-LMBP网络模型的小浪底大坝3维变形预报分析[J]. 测绘与空间地理信息, 2012, 35(7): 95-97,100. DOI: 10.3969/j.issn.1672-5867.2012.07.029 |
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| 作者姓名： | 王新志 陈伟 |
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| 作者单位： | 1.南京信息工程大学遥感学院,江苏南京,210044;2.南昌工程学院,江西南昌,330029 |
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| 摘 要： | BP神经网络在大坝监测资料分析处理中有广泛的应用,本文针对改进的BP神经网络:LM-BP网络模型的不足,采用遗传算法加以改进,建立了一种基于遗传算法和LM-BP网络模型的大坝3维变形预报模型GA-LMBP网络模型.将GA-LMBP网络模型应用于小浪底大坝3维变形预报分析中,取得了很好的预报效果,证明了GA-LMBP网络模型是一种行之有效的大坝变形分析预报模型.
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| 关 键 词： | GA-LMBP 大坝 3维变形 预报分析 |
3D Deformation Forecast and Analysis of Xiaolangdi Dam Based on GA-LMBP Network Model |
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| WANG Xin-zhi,CHEN Wei. 3D Deformation Forecast and Analysis of Xiaolangdi Dam Based on GA-LMBP Network Model[J]. Geomatics & Spatial Information Technology, 2012, 35(7): 95-97,100. DOI: 10.3969/j.issn.1672-5867.2012.07.029 |
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| Authors: | WANG Xin-zhi CHEN Wei |
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| Affiliation: | 1.School of Remote Sensing,Nanjing University of Information Science & Technology,Nan Jing 210044,China; 2.Department of Hydraulic Engineering,Nanchang Institute of Technology,Nanchang 330029,China) |
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| Abstract: | The BP neural network is widely used in the analysis and processing of the dam monitoring data.Aiming at solving the insufficiencies of the improved BP neural-network-GA-LMBP model,this paper used the genetic algorithm to improve it,and develops the GA-LMBP network model which can be used in the three-dimensional deformation forecast of the dam.The GA-LMBP network model is applied to the 3D deformation forecast and analysis of Xiaolangdi dam and achieves a very good prediction effect,which proves that the GA-LMBP is an effective network model for the forecast and analysis of the dam deformation. |
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| Keywords: | GA-LMBP dam 3D deformation forecast and analysis |
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