2016年10月上 施工技术 第45卷第19期 CONSTRUCTION TECHNOLOGY 73 D0I:10.7672/5j52016190073 基于二次非线性模型的基坑变形预测研究 马还援，杨振兴，王显彪，陈飞飞 (青海省水文地质及地热地质重点实验室（青海省水文地质工程地质环境地质调查院），青海西宁810008) [摘要]本文基坑变形预测共包含了两个过程，即一次非线性预测和二次非线性预测.其中，一次非线性预测是利 用多种回归模型对基坑的变形进行回归预测，探讨不同回归模型的预测效果，并选取较优的回归结果进行组合预 测；二次非线性预测是利用混沌RF神经网络对组合预测的搜索误差序列进行二次预测，进一步减少预测误差，提 高预测精度.结果表明：本文的预测精度较高，该方法在基坑变形预测中具有较高的有效性和可行性. [关键词]基坑；回归模型；组合预测；混沌神经网络；研究 [中图分类号]TU433 [文献标识码]A [文章编号]1002-8498(2016)19-0073-05 Deformation Prediction Research of Foundation Excavation Based on the Two Time Nonlinear Model Ma Huanyuan Yang Zhenxing Wang Xianbiao Chen Feifei Hydrogeological and Geothermal Geological Key Laboratory of Qinghai Province (Hydro Geology and Engineering Geology and Enviromental Geology Survey Institute of Qinghai Province) Xining Qinghai 810008 China) Abstract:In this paper the deformation prediction of foundation excavation contains two processes namely the first time nonlinear and the two nonlinear prediction.Among them a nonlinear prediction is used to predict the deformation of foundation excavation by using multiple regression models and to explore the effect of different regression models and select the best regression results to predict by the bination forecasting.The two nonlinear prediction is used to predict the error sequence of bination forecasting by using chaotic RBF neural network and to further reduce the prediction error and improve the prediction accuracy. Key words:foundation excavation;regression model;bination...
基于二次非线性模型的基坑变形预测研究.pdf
