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Volumn 221, Issue 1, 2007, Pages 1-9

Comparison of black-, white-, and grey-box models to predict ultimate tensile strength of high-strength hot rolled coils at the Port Talbot hot strip mill

Author keywords

Artificial neural networks; Black box; Grey box; Ultimate tensile strength; White box

Indexed keywords

APPROXIMATION THEORY; ERROR ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; STRIP METAL; TENSILE STRENGTH;

EID: 33846882032     PISSN: 14644207     EISSN: None     Source Type: Journal    
DOI: 10.1243/14644207JMDA113     Document Type: Article
Times cited : (9)

References (11)
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    • Jones, D. M., Watton, J., and Brown, K. J. The prediction of through coil mechanical properties of hot rolled steel through the application of artificial neural networks using bulk chemistry and various processing parameters. First International Conference on the simulation and modelling of metallurgical processes in steelmaking, Conference Proceedings for STEELSIM 2005, 25-27 October 2005, pp. 519-533.
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  • 3
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    • Pham, D. T. and Liu, X. Neural networks for identification, prediction and control. Intelligent Systems Laboratory, Systems Division, Cardiff School of Engineering, University of Wales, Cardiff, 1999, p. 1, (Springer, London).
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    • Linkens, D. A. and Yang, Y. Y. Black-box modelling and its application in steel property prediction - a brief review. 3rd International Conference on IPMM, 29 July - 3 August 2001, Vancouver, Canada (IMMPETUS, The University of Sheffield, UK).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.