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Volumn 14, Issue 1, 2001, Pages 77-85

Predictive system for blast furnaces by integrating a neural network with qualitative analysis

Author keywords

[No Author keywords available]

Indexed keywords

BLAST FURNACES; MATHEMATICAL MODELS; NEURAL NETWORKS; PIG IRON; PREDICTIVE CONTROL SYSTEMS; SILICON;

EID: 0035253981     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0952-1976(00)00062-2     Document Type: Article
Times cited : (123)

References (19)
  • 1
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    • Chen, J.1
  • 2
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    • An improved back propagation algorithm
    • J. Gu. Beijing: Scientific and Technical Documents Publishing House
    • Chen J., Xu D. An improved back propagation algorithm. Gu J. Proceedings of Systems Science and Systems Engineering. 1998;408-411 Scientific and Technical Documents Publishing House, Beijing.
    • (1998) Proceedings of Systems Science and Systems Engineering , pp. 408-411
    • Chen, J.1    Xu, D.2
  • 3
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    • An accelerated learning algorithm for multilayer perceptrons: Optimization layer by layer
    • Ergezinger S., Thomsen E. An accelerated learning algorithm for multilayer perceptrons. optimization layer by layer IEEE Transactions on Neural Networks. 6:1995;31-41.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 31-41
    • Ergezinger, S.1    Thomsen, E.2
  • 6
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    • Qualitative process theory
    • Forbus K.D. Qualitative process theory. Artificial Intelligence. 24:1984;85-168.
    • (1984) Artificial Intelligence , vol.24 , pp. 85-168
    • Forbus, K.D.1
  • 8
    • 0343721138 scopus 로고
    • Blast furnace control by artificial intelligence
    • In: Rodd, M.G., Suski, G.J. (Eds.), Swansea, UK
    • Iida, O. et al., 1989. Blast furnace control by artificial intelligence. In: Rodd, M.G., Suski, G.J. (Eds.), Artificial Intelligence in Real-Time Control. Swansea, UK, pp. 73-78.
    • (1989) Artificial Intelligence in Real-Time Control , pp. 73-78
    • Iida, O.1
  • 9
    • 0343285617 scopus 로고
    • A mathematic model for predicting the Si-content and temperature of pig iron
    • Jin G. A mathematic model for predicting the Si-content and temperature of pig iron. Iron Smelting. 5(2):1986;8-16.
    • (1986) Iron Smelting , vol.5 , Issue.2 , pp. 8-16
    • Jin, G.1
  • 10
    • 0019441556 scopus 로고
    • A self-tuning multistep predictor application
    • Keyser R., Van Canwenberghe A. A self-tuning multistep predictor application. Automatica. 17:1981;167-174.
    • (1981) Automatica , vol.17 , pp. 167-174
    • Keyser, R.1    Van Canwenberghe, A.2
  • 11
    • 46149128342 scopus 로고
    • Qualitative simulation
    • Kuipers B. Qualitative simulation. Artificial Intelligence. 29:1986;289-338.
    • (1986) Artificial Intelligence , vol.29 , pp. 289-338
    • Kuipers, B.1
  • 12
    • 84979453135 scopus 로고
    • Self-learning algorithm of fuzzy semantic inference
    • Li T.et al. Self-learning algorithm of fuzzy semantic inference. Acta Automatica Sinica. 10:1984;329-336.
    • (1984) Acta Automatica Sinica , vol.10 , pp. 329-336
    • Li, T.1
  • 13
    • 0342850863 scopus 로고
    • The influence of the relation between the temperature and Si-content of pig iron by technique and melting condition
    • Liu Y. The influence of the relation between the temperature and Si-content of pig iron by technique and melting condition. Iron Smelting. 4(4):1985;55-57.
    • (1985) Iron Smelting , vol.4 , Issue.4 , pp. 55-57
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  • 14
    • 0343721137 scopus 로고
    • Operation control system of blast furnace by artificial intelligence
    • Nakajima, R., 1987. Operation control system of blast furnace by artificial intelligence. AIME 46th Iron-Making Conference Proceedings, pp. 155-157.
    • (1987) AIME 46th Iron-Making Conference Proceedings , pp. 155-157
    • Nakajima, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.