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Volumn 2, Issue , 2006, Pages 5615-5618

Fault diagnosis of blast furnace based on SVMs

Author keywords

Blast furnace; Fault diagnosis; Kernel function; SVMs

Indexed keywords

COMPUTER SIMULATION; EXPERT SYSTEMS; FAILURE ANALYSIS; PATTERN RECOGNITION; POLYNOMIAL APPROXIMATION; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 34047236120     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1714149     Document Type: Conference Paper
Times cited : (10)

References (11)
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  • 4
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    • Shilton, A.1    Palaniswami, M.2    Ralph, D.3
  • 5
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    • A hybrid classifier based on rough set theory and support vector machines
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    • (2005) LNCS , vol.3613 , pp. 1287-1387
    • Zhang, G.X.1    Gao, Z.X.2    Gu, Y.J.3
  • 7
    • 34047213663 scopus 로고    scopus 로고
    • C.W. Hsu, C.J. Lin, A comparison of methods for multi-class support vector machines, http://citeseer.nj.nec.com/hsu01comparison.html, 2001.
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    • J.G. Li, H.F. Guo and W. Zhou, "The design and realization of the decision system for the blast furnace abnormal state", Journal of Northeastern University, vol. 18, no.2, pp. 178-182, Apr. 1997.
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    • Li, J.G.1    Guo, H.F.2    Zhou, W.3
  • 11
    • 0347138016 scopus 로고    scopus 로고
    • Neuro-fuzzy network expert system for parameter learning of blast furnace
    • Oct
    • Y.T. Wang, J.B. Xia, J.C. Zhou, et al, "Neuro-fuzzy network expert system for parameter learning of blast furnace", Journal of Iron and Steel Research, vol.11, no.5, pp.72-76, Oct. 1999.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.