| 变形分析的神经网络技术应用实例 |
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| 引用本文： | 胡伍生.变形分析的神经网络技术应用实例[J].测绘工程,2008,17(3):37-40. |
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| 作者姓名： | 胡伍生 |
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| 作者单位： | 东南大学交通学院,江苏,南京,210096 |
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| 基金项目： | 江苏省测绘科研基金资助项目 |
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| 摘 要： | 大型工程施工过程中的变形监测、分析与预报极为重要。变形分析建模的方法很多，神经网络技术的应用是其中之一。文中结合某深基坑工程的监测资料和工作经验，运用神经网络BP算法进行预测分析。简述BP神经网络的基本概念，介绍基坑变形分析的BP神经网络的具体模型结构，将神经网络方法预报结果与实测数据对比效果较好。该成果对生产实践具有参考价值。
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| 关 键 词： | 神经网络 BP算法 基坑支护 变形分析 |
The technology of neural networks used for analyzing deformation |
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| HU Wu-sheng.The technology of neural networks used for analyzing deformation[J].Engineering of Surveying and Mapping,2008,17(3):37-40. |
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| Authors: | HU Wu-sheng |
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| Institution: | HU Wu-sheng (Transportation College, Southeast University, Nanjing 210096, China) |
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| Abstract: | It is very important for monitoring,analyzing and forecasting of the great engineering in construction.There are many methods used for analyzing the deformation,and the neural network method is one of them.According to the information and experience of a deep excavation project,the BP neural network method is used for predicting the deformation.In this paper,the basic concepts of BP neural networks are introduced briefly.And the model structure of BP algorithm used for forecasting the deformation of supporting system of deep excavation is discussed.After compared with the forecasting results and the observation data,the neural network method is preferable.It is provided with practice for the great engineering in construction. |
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| Keywords: | neural networks algorithm of BP(Back Propagation) supporting system analyzing deformation |
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