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Volumn 3, Issue , 2004, Pages 1162-1167

A predictive modeling for blast furnace by integrating neural network with partial least squares regression

Author keywords

Blast furnace; Neural network; Optimizing selection; Partial least squares

Indexed keywords

DATA ACQUISITION; IRON ALLOYS; METALLURGY; NEURAL NETWORKS; OPTIMIZATION; SILICON;

EID: 27944483686     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (18)
  • 2
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  • 3
    • 0343721137 scopus 로고
    • Operation control system of blast furnace by artificial intelligence
    • Nakajima, R., "Operation control system of blast furnace by artificial intelligence", AIME 46th Iron-Making Conference Proceedings, 1987, pp. 155-157.
    • (1987) AIME 46th Iron-making Conference Proceedings , pp. 155-157
    • Nakajima, R.1
  • 5
    • 0032768619 scopus 로고    scopus 로고
    • A comparison of modeling nonlinear systems with artificial networks and partial least squares
    • Lubomir Hadjiiski, Paul Geladi, Philip Hopke, "A comparison of modeling nonlinear systems with artificial networks and partial least squares", Chemometrics and Intelligent Laboratory Systems, 1999, pp. 91-103.
    • (1999) Chemometrics and Intelligent Laboratory Systems , pp. 91-103
    • Hadjiiski, L.1    Geladi, P.2    Hopke, P.3
  • 6
    • 0343721138 scopus 로고
    • Blast furnace control by artificial intelligence
    • Rodd, M.J. (Eds.). Swansea, UK
    • Iida, O. et al.,"Blast furnace control by artificial intelligence", In: Rodd, M.J. (Eds.), Artificial Intelligence in Real-Time Control. Swansea, UK, 1989, pp. 73-78.
    • (1989) Artificial Intelligence in Real-time Control , pp. 73-78
    • Iida, O.1
  • 7
    • 0343721137 scopus 로고
    • Operation control system of blast furnace by artificial intelligence
    • Nakajima, R., "Operation control system of blast furnace by artificial intelligence", AIME 46th Iron-Making Conference Proceedings, 1987, pp. 155-157.
    • (1987) AIME 46th Iron-making Conference Proceedings , pp. 155-157
    • Nakajima, R.1
  • 8
    • 0036149981 scopus 로고    scopus 로고
    • An artificial neural network model for predicting flavour intensity in blackcurrant concentrates
    • Raymond K. Boccorh, Alistair Paterson, "An artificial neural network model for predicting flavour intensity in blackcurrant concentrates", Food uality and Preference, 2002, pp. 117-128
    • (2002) Food Uality and Preference , pp. 117-128
    • Boccorh, R.K.1    Paterson, A.2
  • 10
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    • Multivariate data correlations by combining data analysis and neural networks techniques
    • Rataj, J., Schindler, B., "Multivariate data correlations by combining data analysis and neural networks techniques", Neurocomputing: foundations of research, 1991, pp. 156-177.
    • (1991) Neurocomputing: Foundations of Research , pp. 156-177
    • Rataj, J.1    Schindler, B.2
  • 15
    • 11244307880 scopus 로고    scopus 로고
    • Application of predictive model of fuzzy causal classification in Blast Furnace
    • to appear
    • Xiaojing Hao, Gang Du, Zhi Xie,. "Application of predictive model of fuzzy causal classification in Blast Furnace", Journal of Northeastern University, 2004 (to appear).
    • (2004) Journal of Northeastern University
    • Hao, X.1    Du, G.2    Xie, Z.3
  • 17
    • 11244321363 scopus 로고    scopus 로고
    • Study on data preprocessing and relation operational parameters in blast furnace
    • Xiaojing Hao, Ping Zhang, Peng Wang, Gang Du, "Study on data preprocessing and relation operational parameters in blast furnace". Journal of Materials and Metallurgy, 2003, pp. 241-245.
    • (2003) Journal of Materials and Metallurgy , pp. 241-245
    • Hao, X.1    Zhang, P.2    Wang, P.3    Du, G.4
  • 18
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    • A predictive system for blast furnaces by integrating a neural network with qualitative analysis
    • Jian Chen, "A predictive system for blast furnaces by integrating a neural network with qualitative analysis", Engineering Application of Artificial Intelligence, 2001, pp. 77-85.
    • (2001) Engineering Application of Artificial Intelligence , pp. 77-85
    • Chen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.