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《Sichuan Building Science》 2010-01
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Exploration of selection rules for inputs of neural network used on structural damage identification

ZHANG Yuzhi1,HE Wei2,LI Qiao1,SHAN Deshan1(1.School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;2.College of Sichuan Architectural Technology,Deyang 618000,China)  
When the diagnosis of damage location is taken as a problem of mode identification,neural network can be used as a pattern classifier.The identification effects will be affected by the number of the connotative layers and the nerve cells,the transfer function mode,the training samples,the training method and the performance of the inputs.Given the same conditions,the performance of the inputs is crucial to the performance of the neural network.To solve the problem of inputs sealection,three aspects:the function of the neural network,the separability of the inputs and the effect of noise,are taken into consideration.The selection rules of neural network inputs that have been put forward in this article is instructive to those who will use neural network to solve the problem of mode identification.
【Fund】: 西南交通大学青年教师科研起步资助项目(2007Q108);; 铁道部科技研究开发计划课题智能化桥梁结构研究(Z2006-048)
【CateGory Index】: TU317
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 J. M. Ko, Z.G. Sun and Y.Q.Ni (Department of Civil and Structural Engineering, The HongKong Polytechnic University, Kowloon, Hong Kong);Simulation of damage identification using vibration-based method for Kap Shui Mun Bridge[J];Earthquake Engineering and Engineering Vibration;2001-S1
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LI Hong nan, LI Dong sheng(Dalian University of Technology, Dalian 116024, China);Safety assessment, health monitoring and damage diagnosis for structures in civil engineering[J];Earthquake Engineering and Engineering Vibration;2002-03
2 PEI Qiang,GUO Xun,ZHANG Minzheng(Institute of Engineering Mechanics,China Seismological Bureau,Harbin 150080,China);A review of health monitoring and damage detection of bridge structures[J];Earthquake Engineering and Engineering Vibration;2003-02
3 WANG Kai-feng,ZHANG Xie-dong(School of Transportation,Wuhan University of Technology,Wuhan 430063,China);Research on Damage Identification in Civil Engineering Structure[J];Highway;2008-01
4 ZHANG Yu-zhi,LI Qiao,SHAN De-shan (School of Civil Engineering,Southwest Jiaotong University,Sichuan Chengdu 610031,China);Performance Comparison of Two Types of Neural Networks Used in Structural Damage Location Identification[J];Journal of Highway and Transportation Research and Development;2007-12
5 WANG Yuan-qing1,YAO Nan1,ZHANG Tian-shen2,SHI Yong-jiu1(1.Key Laboratory of Structural Engineering and Vibration of China Education Ministry,Tsinghua University,Beijing 100084,China;2.Detecting Center of Structure Engineering of Tsinghua University,Beijing 100084,China);AN APPLICATION OF MULTISTAGE MODEL UPDATING BASED ON OPTIMIZATION THEORY TO THE SAFETY APPRAISAL OF BRIDGE[J];Engineering Mechanics;2010-01
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7 LI Hongnan~1 GAO Dongwei~(1,2) YI Tinghua~1 1 State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116023,China 2 Zhejiang Province Architectural Design and Research Institute,Hangzhou 310006,China;ADVANCES IN STRUCTURAL HEALTH MONITORING SYSTEMS IN CIVIL ENGINEERING[J];Advances in Mechanics;2008-02
8 QIAO Ying-xin1,2,LI Jian-hua2,HE Yue-guang1,2(1.College of Highway Engineering,Changsha University of Science & Technology,Changsha 410076,China;2.Department of Civil Engineering,Nanchang Institute of Technology,Nanchang 330099,China);Application and Prospect of Fiber Optic Monitoring Technology in Civil Engineering[J];Journal of Nanchang Institute of Technology;2007-01
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10 QU Weilian1,HUANG Dongmei1,2(1.Institute of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China;2.Department of Civil Engineering, Guangxi College of Technology, Liuzhou 545005, China);Two-step damage diagnosis methods of large and complex structures[J];World Information On Earthquake Engineering;2003-02
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