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Volumn 18, Issue 3, 2011, Pages 191-203

Application of neural networks for structure updating

Author keywords

Artificial neural networks; Dynamics; Identification; Updating; Vibrations

Indexed keywords

ADDITIONAL MASS; ARTIFICIAL NOISE; BAYESIAN NEURAL NETWORKS; BEAMS AND FRAMES; DYNAMIC CHARACTERISTICS; FEED-FORWARD NETWORK; FINITE ELEMENT MODELS; INPUT VECTOR; LABORATORY MODELS; NUMERICAL DATA; UPDATING; VIBRATIONS;

EID: 84861492550     PISSN: 1232308X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (19)
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  • 7
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    • Levin, R.I.1    Lieven, N.A.J.2
  • 8
    • 0031700899 scopus 로고    scopus 로고
    • Dynamic finite element model updating using simulated annealing and genetic algorithms
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    • (1998) Mechanical Systems and Signals Processing , vol.12 , Issue.1 , pp. 91-120
    • Levin, R.I.1    Lieven, N.A.J.2
  • 12
    • 0031683837 scopus 로고    scopus 로고
    • Problems of model updating procedures:A perspective resumptions
    • H.G. Natke. Problems of Model Updating Procedures: a Perspective Resumptions, Mechanical systems and signals processing, 12(1): 65-74, 1998.
    • (1998) Mechanical Systems and Signals Processing , vol.12 , Issue.1 , pp. 65-74
    • Natke, H.G.1
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    • 0035441570 scopus 로고    scopus 로고
    • Neural networks in mechanics of structures and materials - New results and prospects of applications
    • DOI 10.1016/S0045-7949(01)00083-9, PII S0045794901000839
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  • 16
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    • Rutkowski L. et al., Berlin-Heidelberg-New York: Springer
    • Z. Waszczyszyn, M. Słoński. Maximum of marginal likelihood criterion instead of cross-validation for designing, In: Rutkowski L. et al., [Ed.] Artificial Intelligence and Soft Computing ICAISC2008, Berlin-Heidelberg-New York: Springer, 2008.
    • (2008) Artificial Intelligence and Soft Computing ICAISC2008
    • Waszczyszyn, Z.1    Słoński, M.2
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  • 19
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    • Application of neurocomputing in the parametric identification using dynamic responses of structural elements-selected problems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.