基坑支护结构水平变形预测的遗传神经网络方法

韦立德 徐卫亚 蒋中明 刘世君 陈记

韦立德, 徐卫亚, 蒋中明, 刘世君, 陈记. 2003: 基坑支护结构水平变形预测的遗传神经网络方法. 工程地质学报, 11(3): 297-301.
引用本文: 韦立德, 徐卫亚, 蒋中明, 刘世君, 陈记. 2003: 基坑支护结构水平变形预测的遗传神经网络方法. 工程地质学报, 11(3): 297-301.
WEI Lide, XU Weiya, JIANG Zhongming, LIU Shijun, CHEN Ji. 2003: APPLICATION OF GENETIC NEURAL NETWORK METHOD TO FORECASTING HORIZONTAL DEFORMATION OF SUPPORT STRUCTURE AT FOUNDATION PIT. JOURNAL OF ENGINEERING GEOLOGY, 11(3): 297-301.
Citation: WEI Lide, XU Weiya, JIANG Zhongming, LIU Shijun, CHEN Ji. 2003: APPLICATION OF GENETIC NEURAL NETWORK METHOD TO FORECASTING HORIZONTAL DEFORMATION OF SUPPORT STRUCTURE AT FOUNDATION PIT. JOURNAL OF ENGINEERING GEOLOGY, 11(3): 297-301.

基坑支护结构水平变形预测的遗传神经网络方法

详细信息
    作者简介:

    韦立德(1973-),男,博士研究生,主要从事岩土力学方面的研究.Email:weilide@163.net

  • 中图分类号: TU432

APPLICATION OF GENETIC NEURAL NETWORK METHOD TO FORECASTING HORIZONTAL DEFORMATION OF SUPPORT STRUCTURE AT FOUNDATION PIT

  • 摘要: 采用遗传算法和误差反向传播算法相结合的混合算法来训练前馈人工神经网络,先用遗传学习算法进行全局训练,再用BP算法进行精确训练。就遗传算法过程中的选择、变异进行了探索,提出了用BP网络训练产生变异的遗传算法。作为实例,将该方法应用于预测基坑支护结构水平变形中。结果表明,该方法有收敛速度较快、预测精度高等优点。
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出版历程
  • 收稿日期:  2002-12-24
  • 修回日期:  2003-02-18
  • 刊出日期:  2003-08-22

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