CN 11-2068/TU ISSN 1000-8993

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Volume 35 Issue 4

Dec. 2014

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2005 > 35(4): 55-59

Gao Huadong, Huo Da, Tao Lianjin. APPLICATION OF CHAOTIC NEURAL NETWORK METHOD IN THE LATERAL DISPLACEMENT PREDICATION OF DEEP EXCAVATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(4): 55-59. doi: 10.13204/j.gyjz200504016

Citation:

Gao Huadong, Huo Da, Tao Lianjin. APPLICATION OF CHAOTIC NEURAL NETWORK METHOD IN THE LATERAL DISPLACEMENT PREDICATION OF DEEP EXCAVATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(4): 55-59. doi: 10.13204/j.gyjz200504016

Gao Huadong, Huo Da, Tao Lianjin. APPLICATION OF CHAOTIC NEURAL NETWORK METHOD IN THE LATERAL DISPLACEMENT PREDICATION OF DEEP EXCAVATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(4): 55-59. doi: 10.13204/j.gyjz200504016

Citation:

Gao Huadong, Huo Da, Tao Lianjin. APPLICATION OF CHAOTIC NEURAL NETWORK METHOD IN THE LATERAL DISPLACEMENT PREDICATION OF DEEP EXCAVATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(4): 55-59. doi: 10.13204/j.gyjz200504016

APPLICATION OF CHAOTIC NEURAL NETWORK METHOD IN THE LATERAL DISPLACEMENT PREDICATION OF DEEP EXCAVATION

doi: 10.13204/j.gyjz200504016

1.
College of Architecture and Civil Engineering,Beijing University of Technology Beijing 1 00022

Received Date: 2004-09-12
Publish Date: 2005-04-20

Abstract

Based on chaos theory, this paper determines the values of input neural network by menas of the arithmetic that?combining the average displacement with auto?correlation function.The prediction results are induced by the feedback?network and the 'jag points'?are reduced by the method of parameter controller.The study has shown that the results are?more accurate than conventional methods.At last, the method is applied to the lateral displacement prediction of the deep?excavation for Beixinqiao Subway Station of Beijing and the data are satisfactory.
- lateral displacement prediction,
- chaos control,
- neural network,
- deep excavation

References

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