Paper Title:
Application of Neural Network in Displacement Prediction of Dongping Tunnel
  Abstract

It has been proved that Multi-layer network computing can solve the nonlinear separable problem, but the problem which the hidden layer makes the learning more difficult limits the development of multi-layer network.Back-propagation (BP) algorithm solve this problem and promote multi-network research to regain attention. In this paper, A new method which dynamic matrix control method based on neural network is found. Its essence is that the resulting prediction signal is produced by the manner which regards neural network model as prediction model, and the predictive control of nonlinear systems would be realized by the control law which using the receding optimization algorithm. Neural network Selects the BP neural network which possess a good nonlinear function approximation capability.Aiming at dongping tunnel surface deformation prediction, the article adopt BP Neural Network to train the system basing on the given data. It shows the hiding neural node is close to precision; predictive value in good agreement with measured values, and to some extent be able to guide the construction.

  Info
Periodical
Advanced Materials Research (Volumes 163-167)
Edited by
Lijuan Li
Pages
2666-2669
DOI
10.4028/www.scientific.net/AMR.163-167.2666
Citation
Z. X. Yin, Z. Gao, Y. Feng, "Application of Neural Network in Displacement Prediction of Dongping Tunnel", Advanced Materials Research, Vols. 163-167, pp. 2666-2669, 2011
Online since
December 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wei Bing Hu, Qian Li
Abstract:In this paper, on the basis of the existing research and Matlab, scientific computing software, and through the characteristics of the...
4378
Authors: Chun Mei Zhu, Chang Peng Yan, Xiao Li Xu, Guo Xin Wu
Abstract:In order to improve the efficiency and accuracy of the prediction of expressway traffic flow, this paper, based on the characteristics of the...
4400
Authors: Hui Zhen Yang, Wen Guang Zhao, Wei Chen, Xu Quan Chen
Chapter 8: System Modeling and Simulation
Abstract:Wavelet Neural Network (WNN) is a new form of neural network combined with the wavelet theory and artificial neural network. The wavelet...
4847
Authors: Dong Qiu, Ying Ying Fu, Xiao Bo Wang
Chapter 1: Material Science and Engineering
Abstract:An intelligent algorithm of energy analysis was put forward based on statistical data of Sinosteel Jilin ferroalloy Co., Ltd. Momentum BP...
171
Authors: Xiao Qin Liu, Hai Jun Sun, Shu Xian Deng, Tai Dong Ji
Chapter 5: Control Theory and Control Engineering
Abstract:BP neural networks requires for the predicted number of hidden layer neurons and the corresponding predicted function. RBF distributed...
828