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Volumn 3173, Issue , 2004, Pages 750-754

Substructural damage detection using neural networks and ICA

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPLEX NETWORKS; FREQUENCY RESPONSE; INDEPENDENT COMPONENT ANALYSIS; NEURAL NETWORKS; STRUCTURAL ANALYSIS;

EID: 35048884121     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28647-9_123     Document Type: Article
Times cited : (6)

References (6)
  • 1
    • 0035902057 scopus 로고    scopus 로고
    • Structural damage detection using artificial neural networks and measured FRF data reduced via principal component projection
    • Zhang C., Imregun M.: Structural damage detection using artificial neural networks and measured FRF data reduced via principal component projection. J. Sound Vib. 242(5) (2001). 813-827
    • (2001) J. Sound Vib. , vol.242 , Issue.5 , pp. 813-827
    • Zhang, C.1    Imregun, M.2
  • 3
    • 0033737832 scopus 로고    scopus 로고
    • Substrucrural identification using neural networks
    • Chungbang Yun, Eun Young Bahng: Substrucrural identification using neural networks. Computers & Structures 77 (2000) 41-52
    • (2000) Computers & Structures , vol.77 , pp. 41-52
    • Yun, C.1    Bahng, E.Y.2
  • 4
    • 0037212955 scopus 로고    scopus 로고
    • On Latin hypercube sampling for structural reliability analysis
    • Olsson A., Sandberg G., Dahlblom O.: On Latin hypercube sampling for structural reliability analysis. Structural safety 25 (2003) 47-68
    • (2003) Structural Safety , vol.25 , pp. 47-68
    • Olsson, A.1    Sandberg, G.2    Dahlblom, O.3
  • 5
    • 0141978306 scopus 로고    scopus 로고
    • The fixed-point algorithm and maximum likelihood estimation for independent component analysis
    • Hyvärinen A.: The fixed-point algorithm and maximum likelihood estimation for independent component analysis. Neural Processing Letters 10 (1999) 1-5.
    • (1999) Neural Processing Letters , vol.10 , pp. 1-5
    • Hyvärinen, A.1
  • 6
    • 0037381038 scopus 로고    scopus 로고
    • A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
    • Cao L.J., Chua K.S., Chong W.K., Lee H.P., Gu Q.M.: A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocompting 55 (2003) 321336
    • (2003) Neurocompting , vol.55 , pp. 321-336
    • Cao, L.J.1    Chua, K.S.2    Chong, W.K.3    Lee, H.P.4    Gu, Q.M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.