Displacement Back Analysis of Tunnels in Soft and Weak RocksBased on Improved BP Neural Network Method
[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
34
Number of periods:
2013 01
Page number:
23-26
Column:
Public date:
2013-01-16
- Title:
- Displacement Back Analysis of Tunnels in Soft and Weak RocksBased on Improved BP Neural Network Method
- Keywords:
- tunnelling; neural network ; back analysis ; displacement; soft and weak rock
- CLC:
- U451
- 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.
- References:
- -
- Similar References:
Memo
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Last Update:
1900-01-01
