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BP小波神经网络在大断面隧道变形预测中的应用
引用本文:黄志波,林从谋,黄金山,孟凡兵,付旭.BP小波神经网络在大断面隧道变形预测中的应用[J].华侨大学学报(自然科学版),2011,32(6):680-683.
作者姓名:黄志波  林从谋  黄金山  孟凡兵  付旭
作者单位:华侨大学岩土工程研究所,福建泉州,362021
基金项目:福建省交通科技发展课题基金资助项目(200910)
摘    要:将BP算法引入小波神经网络,自适应地调整小波系数和网络权重,同时利用自适应算法调节BP算法的学习率,提高收敛效率.以4车道隧道——前欧隧道的监测数据为基础,建立BP小波神经网络变形预测模型.预测结果表明:BP小波神经网络对地质条件相似,施工及初期支护方法相同的隧道断面变形进行预测,其预测结果满足工程精度要求,能较准确地...

关 键 词:BP小波神经网络  大断面隧道  变形预测

BP Wavelet Neural Network in Application of Large Cross-Section Tunnel Deformation Prediction
HUANG Zhi-bo,LIN Cong-mou,HUANG Jin-shan,MENG Fan-bing,FU Xu.BP Wavelet Neural Network in Application of Large Cross-Section Tunnel Deformation Prediction[J].Journal of Huaqiao University(Natural Science),2011,32(6):680-683.
Authors:HUANG Zhi-bo  LIN Cong-mou  HUANG Jin-shan  MENG Fan-bing  FU Xu
Institution:HUANG Zhi-bo,LIN Cong-mou,HUANG Jin-shan,MENG Fan-bing,FU Xu(Institute of geotechnical engineering,Huaqiao University,Quanzhou 362021,China)
Abstract:Introducing back propagation(BP) algorithm to wavelet neural network,and using adaptive algorithm for adjusting BP algorithm learning rate,under adaptive adjustment of wavelet coefficients and network weights,the efficiency of convergence was improved.Based on monitoring data of the four-lane Qian-ou tunnel,BP wavelet neural network prediction model is established.For the similar geological conditions and the same construction and initial support,BP wavelet neural network prediction of the tunnel-section de...
Keywords:back propagation wavelet neural networks  large cross-section tunnel  deformation prediction  
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