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Volumn , Issue , 2007, Pages 2570-2574

Application of the electrode system intelligent controller for ladle furnace

Author keywords

Electrode control; Inverse controller; LF furnace; RBF neural network; WinAC

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER CONTROL SYSTEMS; COMPUTER SOFTWARE; NEURAL NETWORKS; SIGNAL INTERFERENCE;

EID: 37049012874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMA.2007.4303961     Document Type: Conference Paper
Times cited : (6)

References (10)
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  • 2
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  • 3
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  • 4
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    • Neural network control system for electric arc furnaces
    • E.-S. William,and G.-B. Norman, "Neural network control system for electric arc furnaces,".MPT, 18(2),pp.58-64,1995.
    • (1995) MPT , vol.18 , Issue.2 , pp. 58-64
    • William, E.-S.1    Norman, G.-B.2
  • 5
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    • review and summarization for computer rise-fall control in steelmaking arc furnaces
    • Jan
    • W. Yuan, "review and summarization for computer rise-fall control in steelmaking arc furnaces," Industry Heating. 29(1),pp. 1-4, Jan 2000.
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    • Yuan, W.1
  • 6
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    • An adaptive arc furnace Model
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  • 7
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    • Plett,Gregory L, "Adaptive inverse control of linear and nonlinear systems using dynamic neural networks,"IEEE Transactions on Neural Networks , 14(2): 360-376. 2003.
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.2 , pp. 360-376
    • Plett, G.L.1
  • 8
    • 37049013711 scopus 로고    scopus 로고
    • Ertugrul Celebi. Analysis of Input Output Clustering for Determing Centers of RBFN
    • U. Zekeriya, M. -G. Cuneyt, "Ertugrul Celebi. Analysis of Input Output Clustering for Determing Centers of RBFN," IEEE Trans On NN, ,11(4), 2000.
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  • 9
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    • Automatic determination of Radial Basis functions: An immunity-Based approach
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  • 10
    • 35248835953 scopus 로고    scopus 로고
    • Intelligent modeling for the electrode system in ladle furnace based on regular RBF neural network
    • May
    • Y. Chu, S. Zhang, S. Zhang, "Intelligent modeling for the electrode system in ladle furnace based on regular RBF neural network," Automation and Instrumentation, 19(5), pp. 5-7, May 2004.
    • (2004) Automation and Instrumentation , vol.19 , Issue.5 , pp. 5-7
    • Chu, Y.1    Zhang, S.2    Zhang, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.