[1]高攀科,谢永利..隧道软弱围岩的改进BP神经网络位移反分析[J].郑州大学学报(工学版),2013,34(01):23-26.[doi:10.3969/j.issn.1671-6833.2013.01.006]
　GA0 Pan-ke,XIE Yong-li.Displacement Back Analysis of Tunnels in Soft and Weak RocksBased on Improved BP Neural Network Method[J].Journal of Zhengzhou University (Engineering Science),2013,34(01):23-26.[doi:10.3969/j.issn.1671-6833.2013.01.006]
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隧道软弱围岩的改进BP神经网络位移反分析()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
34
期数:
2013年01期
页码:
23-26
栏目:
出版日期:
2013-01-16

文章信息/Info

Title:
Displacement Back Analysis of Tunnels in Soft and Weak RocksBased on Improved BP Neural Network Method
作者:
高攀科; 谢永利.
长安大学公路学院,陕西西安710064;陕西铁路工程职业技术学院,陕西渭南714099, 长安大学公路学院,陕西西安,710064
Author(s):
GA0 Pan-ke1; 2; XIE Yong-li1
1.School of Highway , Chang’an University ，Xi’an 710064,China;2.Shanxi Railway Institute，Weinan 714099，China
关键词:
隧道工程;  神经网络;  反分析;  位移;  软弱围岩
Keywords:
tunnelling;  neural network ;  back analysis ;  displacement;  soft and weak rock
分类号:
U451
DOI:
10.3969/j.issn.1671-6833.2013.01.006
文献标志码:
A
摘要:
基于一般BP神经网络特点,特别是在缺陷认识的基础上,采用改进BP神经网络对隧道软弱围岩进行位移反分析.通过增加神经元输出反馈量、运用二分法原理确定隐层单元数和改进惯性校正法、变步长算法、改进误差函数等方法,分别从BP神经网络结构和算法两个方面进行改进.并将现场监测数值和反分析计算位移值进行比较,其综合相对误差均控制在4％以内,取得了良好效果.成功将有限元数值仿真与BP神经网络原理结合,可为软弱围岩隧道设计和施工提供准确可靠的参数信息.
Abstract:
Based on the realization of the defects in the general BP( error back propagation algorithm ) artificialneural network( ANN ) , an approach based on improved BP ANN for displacement back analysis of soft andweak rocks for tunnels is proposed in this paper. This BP ANN was improved in two ways , neural structure andalgorithm， by using increased feedback in output of neural cell , dichotomy theory to chose neurals’number ofhidden layer , improved inertia revise，algorithm，varying step-size algorithm ，improved error function.The in-tegrated error between monitor number and simulation number was controled with in 4% . Aiming at the exactand dependable parameters for construction of tunnels with soft and weak rocks,BP ANN was combined withFEM (finite element modeling ) numerical simulation successfully.

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更新日期/Last Update: 1900-01-01