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Volumn 23, Issue 11, 2002, Pages 1089-1092

Prediction of rolling load by BP neural networks integrating with self-adaption of traditional model

Author keywords

Artificial intelligence; BP neural network; Inherit coefficient; Rolling load; Self adaption

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 0036880990     PISSN: 10053026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (11)
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  • 3
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    • Application of neural networks in rolling mill automation
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  • 4
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    • Lu, Y.Z.1
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    • Model predictive control using neural networks
    • Draeger A, Engell S, Ranke H. Model predictive control using neural networks[J]. IEEE Control Systems, 1995, 15(5): 61-66.
    • (1995) IEEE Control Systems , vol.15 , Issue.5 , pp. 61-66
    • Draeger, A.1    Engell, S.2    Ranke, H.3
  • 6
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    • An on-line trained adaptive neural controller
    • Zhang Y, Sen P, Hearn G E. An on-line trained adaptive neural controller[J]. IEEE Control Systems, 1995, 15(5): 67-75.
    • (1995) IEEE Control Systems , vol.15 , Issue.5 , pp. 67-75
    • Zhang, Y.1    Sen, P.2    Hearn, G.E.3
  • 7
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    • Intelligent answer to HSM control problems
    • Simens A G. Intelligent answer to HSM control problems [J]. Steel Times International, 1996, 20(1): 16-17.
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  • 8
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    • Rao, K.P.1    Prasad, Y.K.2
  • 9
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    • High-precision prediction of rolling load of finishing based on neural networks
    • Lu C, Wang G D, Liu X H, et al. High-precision prediction of rolling load of finishing based on neural networks[J]. Iron and Steel, 1998, 33(3): 32-35.
    • (1998) Iron and Steel , vol.33 , Issue.3 , pp. 32-35
    • Lu, C.1    Wang, G.D.2    Liu, X.H.3
  • 11
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    • Application of combined neural network to the prediction of the rolling load in the finishing train of hot strip mill
    • Wang X M, Wang G D, Liu X H. Application of combined neural network to the prediction of the rolling load in the finishing train of hot strip mill[J]. Journal of Iron and Steel Research, 1998, 10(4): 72-76.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.