메뉴 건너뛰기




Volumn 2, Issue , 2008, Pages 238-241

Hybrid abnormal patterns recognition of control chart using support vector machining

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TREES; CONTROL CHARTS; FLOWCHARTING; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; VECTOR CONTROL (ELECTRIC MACHINERY);

EID: 60349105614     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cis.2008.13     Document Type: Conference Paper
Times cited : (12)

References (10)
  • 1
    • 43149089852 scopus 로고    scopus 로고
    • A theoretical framework and efficiency study of multivariate statistical process control charts
    • W. Jiang, K.L. Tsui, "A theoretical framework and efficiency study of multivariate statistical process control charts", IIE Transactions, 2008, vol. 40, no. 7, pp. 650-663.
    • (2008) IIE Transactions , vol.40 , Issue.7 , pp. 650-663
    • Jiang, W.1    Tsui, K.L.2
  • 2
    • 4444332845 scopus 로고
    • Interpreting Statistical Process Control (SPC) Charts Using Machine Learning and Expert System Techniques
    • Dayton, OH, USA
    • M. Shewhart, "Interpreting Statistical Process Control (SPC) Charts Using Machine Learning and Expert System Techniques", Aerospace and Electronics Conference, Proceedings of the IEEE 1992 National, IEEE, Dayton, OH, USA, 1992, pp. 1001-1006.
    • (1992) Aerospace and Electronics Conference, Proceedings of the IEEE 1992 National, IEEE , pp. 1001-1006
    • Shewhart, M.1
  • 3
    • 0032673229 scopus 로고    scopus 로고
    • A neural network based model for abnormal pattern recognition of control charts
    • R.S. Guh, Y.C. Hsieh, "A neural network based model for abnormal pattern recognition of control charts", Computers and Industrial Engineering, 1999, vol. 36, no. 1, pp. 97-108.
    • (1999) Computers and Industrial Engineering , vol.36 , Issue.1 , pp. 97-108
    • Guh, R.S.1    Hsieh, Y.C.2
  • 4
    • 0032686921 scopus 로고    scopus 로고
    • Recognition of control chart concurrent patterns using a neural network approach
    • R.S. Guh, J.D.T. Tannock, "Recognition of control chart concurrent patterns using a neural network approach", International Journal of Production Research, 1999, vol. 37, no. 8, pp. 1743-1765.
    • (1999) International Journal of Production Research , vol.37 , Issue.8 , pp. 1743-1765
    • Guh, R.S.1    Tannock, J.D.T.2
  • 5
    • 0037103442 scopus 로고    scopus 로고
    • A fuzzy-soft learning vector quantization for control chart pattern recognition
    • M.S. Yang, J.H. Yang, "A fuzzy-soft learning vector quantization for control chart pattern recognition", International Journal of Production Research, 2002, vol. 40, no. 12, pp. 2721-2731.
    • (2002) International Journal of Production Research , vol.40 , Issue.12 , pp. 2721-2731
    • Yang, M.S.1    Yang, J.H.2
  • 7
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • V.N. Vapnik, "An overview of statistical learning theory", IEEE Transaction Neural Networks, 1999, vol. 10, no. 5, pp. 988-999.
    • (1999) IEEE Transaction Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 9
    • 84957087567 scopus 로고    scopus 로고
    • Improved pairwise coupling classification with correcting classifiers
    • Springer, Chemnitz, Germany
    • M. Moreira, E. Mayoraz, "Improved pairwise coupling classification with correcting classifiers", Processing of the 10th European Conference on Machine Learning, Springer, Chemnitz, Germany, 1998, pp. 160-171.
    • (1998) Processing of the 10th European Conference on Machine Learning , pp. 160-171
    • Moreira, M.1    Mayoraz, E.2
  • 10
    • 0027579104 scopus 로고
    • Back propagation pattern recognizers for X-bar control charts methodology and performance
    • H.B. Hwarng, N.F. Hubele, "Back propagation pattern recognizers for X-bar control charts methodology and performance", Computers & Industrial Engineering, 1993, vol. 24, no. 2, pp. 220-235.
    • (1993) Computers & Industrial Engineering , vol.24 , Issue.2 , pp. 220-235
    • Hwarng, H.B.1    Hubele, N.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.