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Volumn , Issue , 2010, Pages 6918-6922

Self-recovery method based on auto-associative neural network for intelligent sensors

Author keywords

9 ary tree; Auto associative neural network; Intelligent sensors; Self recovery

Indexed keywords

9-ARY TREE; AUTOASSOCIATIVE NEURAL NETWORKS; IEEE-1451; INSULATOR CONTAMINATION; INTELLIGENT SENSORS; NON-LINEARITY; ONLINE MONITORING; REAL VALUES; REPAIR METHODS; SELF-RECOVERY; SENSOR FAULT; SENSORS-FAULT DETECTION; SUM OF SQUARES; TREE ALGORITHMS;

EID: 77958127789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2010.5554231     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 1
    • 0026849990 scopus 로고
    • Autoassociative neural networks[J]
    • Kramer M.A. "Autoassociative neural networks" [J]. Computers and Chemical Engineering, 1992, 16(4): 313-328.
    • (1992) Computers and Chemical Engineering , vol.16 , Issue.4 , pp. 313-328
    • Kramer, M.A.1
  • 5
    • 70349110621 scopus 로고    scopus 로고
    • Using principal component analysis and autoassociative neural networks to estimate missing data in a database[C]
    • Proceedings
    • Mistry J, Nelwamondo F V, Marwala T. "Using Principal Component Analysis and Autoassociative Neural Networks to Estimate Missing Data in a Database[C]." WMSCI 2008 Vol V, Proceedings, 2008. 24-29.
    • (2008) WMSCI 2008 , vol.5 , pp. 24-29
    • Mistry, J.1    Nelwamondo, F.V.2    Marwala, T.3
  • 7
    • 66349092542 scopus 로고    scopus 로고
    • Novel approach of multi-dimensional sensing information decoupling based on multi-scale approximation[J]
    • Natural Science Edition 110
    • Ye Ting-dong, Liu Gui-xiong, Huang Guo-jian, et al. "Novel approach of multi-dimensional sensing information decoupling based on multi-scale approximation[J]."Journal of South China Univ. of Technology (Natural Science Edition), 2009, 4(37): 86-89, 110.
    • (2009) Journal of South China Univ. of Technology , vol.4 , Issue.37 , pp. 86-89
    • Ting-Dong, Y.1    Gui-Xiong, L.2    Guo-Jian, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.