| 基于神经网络的变形预报方法研究 |
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| 引用本文： | 李井春,张文朗,夏立福.基于神经网络的变形预报方法研究[J].测绘与空间地理信息,2011,34(1):151-153,156. |
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| 作者姓名： | 李井春 张文朗 夏立福 |
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| 作者单位： | 李井春,LI Jing-chun(黑龙江测绘产品质量监督检验站,黑龙江,哈尔滨,150086);张文朗,夏立福,ZHANG Wen-lang,XIA Li-fu(国家测绘局第四地形测量队,黑龙江,哈尔滨,150086) |
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| 摘 要： | 对BP,RBF,Elman 3种神经网络模型进行了简要概括,将其应用于实际工程案例中,经过多角度综合分析,验证了3种模型进行变形预报的可行性,同时得出对实际工程具有指导性意义的结论。
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| 关 键 词： | BP神经网络 RBF神经网络 Elman神经网络 变形预报 |
Research on the Method of Deformation Prediction Based on Neural Network |
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| LI Jing-chun,ZHANG Wen-lang,XIA Li-fu.Research on the Method of Deformation Prediction Based on Neural Network[J].Geomatics & Spatial Information Technology,2011,34(1):151-153,156. |
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| Authors: | LI Jing-chun ZHANG Wen-lang XIA Li-fu |
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| Institution: | LI Jing-chun1,ZHANG Wen-lang2,XIA Li-fu2(1.Surveying and Mapping Products Testing Station of Heilongjiang,Harbin 150086,China,2.The Fourth Topographic Survey Team of State Bureau of Surveying and Mapping,China) |
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| Abstract: | This paper generalizes three kinds of BP,RBF and Elman neural network model.It is applied in actual project,the feasibility of the three kinds model were verified by multi-angle analysis,and the conclusion of guidance meaning can be obtained. |
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| Keywords: | BP neural network RBF neural network Elman neural network deformation prediction |
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