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Volumn 201, Issue 1-3, 2008, Pages 101-105

Modelling of hot strip rolling process using a hybrid neural network approach

Author keywords

Correlation analysis; Ensemble modelling; Hot rolled alloy strip; Mechanical property; Neural network

Indexed keywords

CORRELATION METHODS; HOT ROLLING; MECHANICAL PROPERTIES; NEURAL NETWORKS;

EID: 41549108947     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2007.11.293     Document Type: Article
Times cited : (19)

References (11)
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  • 2
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    • Chen M., and Linkens D.A. A systematic neuro-fuzzy modeling framework with application to material property prediction. IEEE Trans. Syst. Man Cybern. Part B 31 (2001) 781-790
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    • Chen, M.1    Linkens, D.A.2
  • 5
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    • Design of heat-treated alloy steels using intelligent multi-objective optimisation
    • Mahfouf M., Chen M., and Linkens D.A. Design of heat-treated alloy steels using intelligent multi-objective optimisation. ISIJ Int. 45 (2005) 694-699
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    • Mahfouf, M.1    Chen, M.2    Linkens, D.A.3
  • 6
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    • Linguistic modeling based on numerical data
    • Sugeno M., and Yasukawa T. Linguistic modeling based on numerical data. Proceedings of IFSA '91 (1991) 264-267
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    • Sugeno, M.1    Yasukawa, T.2
  • 7
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    • Fuzzy identification of systems and its application to modeling and control
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    • Takagi, T.1    Sugeno, M.2
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    • Generating fuzzy rules by learning from example
    • Wang L.X., and Mendel J.M. Generating fuzzy rules by learning from example. IEEE Trans. Syst. Man Cybern. 22 6 (1992) 1414-1427
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  • 9
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    • Grain growth modeling for continuous reheating process-a neural network-based approach
    • Yang Y.Y., Linkens D.A., Mahfouf M., and Rose A.J. Grain growth modeling for continuous reheating process-a neural network-based approach. ISIJ Int. 43 (2003) 1040-1049
    • (2003) ISIJ Int. , vol.43 , pp. 1040-1049
    • Yang, Y.Y.1    Linkens, D.A.2    Mahfouf, M.3    Rose, A.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.