| 基坑变形预测的时间序列分析 |
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| 引用本文： | 袁金荣,赵福勇.基坑变形预测的时间序列分析[J].土木工程学报,2001,34(6):55-59. |
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| 作者姓名： | 袁金荣 赵福勇 |
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| 作者单位： | 1. 上海市隧道工程轨道交通设计研究院
2. 上海浦东新区城市建设科技委员会 |
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| 基金项目： | 国家自然科学基金资助项目(编号59978034) |
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| 摘 要： | 在分析灰色系统与神经网络基本原理的基础上,结合前人研究成果和实例分析,提出灰色系统用于基坑变形预测存在的一些问题,认为灰色系统不宜用于地下连续墙水平位移的预测,在其它变形预测中也要慎用.建立了基坑变形预测的神经网络模型,并用实例加以论证.研究表明,神经网络是解决基坑变形预测的有效方法,在地下工程中具有很好的应用前景.
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| 关 键 词： | 基坑 变形预报 灰色系统 神经网络 时间序列分析 |
| 文章编号： | 1000-131X(2001)06-0055-05 |
| 修稿时间： | 1999年7月8日 |
PREDICTING DEFORMATION OF FOUNDATION PIT USING ANN |
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| Yuan Jinrong.PREDICTING DEFORMATION OF FOUNDATION PIT USING ANN[J].China Civil Engineering Journal,2001,34(6):55-59. |
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| Authors: | Yuan Jinrong |
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| Abstract: | A new model of artificial neutral network(ANN)to predicate the deformation of a foundation pit is proposed in the paper. We reviewed some researches and examples to predicate the deformation of a foundation pit. The results show that the gray system is not suitable to be used in the displacement prediction. It is also to be careful to use the gray system in other areas. The influences on the deformation of a foundation pit are very difficult to describe. The characteristics of the fuzziness and nonlinearity in the foundation engineering are easy to be modeled by ANN. Using ANN is an effective way for the deformation prediction. It is proved by some examples. |
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| Keywords: | foundation pit prediction of deformation grey system artificial neural networks analysis of time sequence |
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