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

[2] 王广国, 等, 深基坑的大变形分析.岩石力学与工程学报, 2000, 19(4):509~512;

俞进萍, 等.基于锚杆围护结构的深基坑开挖过程中侧向位移的预测控制.建筑技术开发, 2002, 29(6):28~30;

[3] 李宏义.基坑变形灰色预测预警系统.勘察科学技术, 2000(6):40~44;

[4] 李磊, 等.深基坑支护结构位移的非等步长灰色模型预测.勘察科学技术, 2001(5):16~19;

[5] 孙海涛, 吴限.深基坑工程变形预报神经网络法的初步研究.岩土力学, 1998, 19(4):63~68;

[6] 高广运, 等.遗传 BP神经网络在深基坑开挖监测中的应用.地下空间, 2002, 22(4):290~293;

[7] 袁金荣, 等.深大基坑施工变形的智能控制技术.岩土工程学报, 2002, 24(4):460~464;

[8] 周创兵, 陈益峰.基于相空间重构的边坡位移预测.岩土力学, 2000, 21(3):205~208;

[9] 吕金虎, 陆君安, 陈士华.混沌时间序列分析及其应用.武汉:武汉大学出版社, 2002;

[10] Mohand Mokhtari, Mi chel Marie. MATLAB与 SIMULINK工程应用.赵彦玲吴淑红, 等, 译, 北京:电子工业出版社, 2002;

[11] Kapitaniak T., Controlling Chaos. London: Academic Press, harcourtBrace Company, 1996;

[12] Ott E. Coping with Chaos: Analysis of Chaotic Data and the Exploitationof Chaotic System. New York: John Wiley and Sons, Inc., 1996;

[13] Chen G R, Dong X N. From Chaos to Order. Singapore: WorldScientifi c, 1998;

[14] Schuster H G. Handbook of Chaos Control. Weinheim: Wiley-VCHVerlag GmbH, 1999;

[15] 胡岗, 萧井华, 等.混沌控制.上海:上海科技教育出版社, 2000;

[16] 飞思科技产品研发中心. MATLAB615辅助神经网络分析与设计.北京:电子工业出版社, 2003

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