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Volumn 38, Issue 11, 2004, Pages 1479-1482

Application of general regression neural network in prediction of coal ash fusion temperature

Author keywords

Ash composition; Ash fusion temperature; GRNN

Indexed keywords

COAL FIRED BOILERS; LEARNING ALGORITHMS; NEURAL NETWORKS; TEMPERATURE;

EID: 11844280379     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (7)
  • 2
    • 0036138536 scopus 로고    scopus 로고
    • Monitoring pollution emission in a 4.8 MW power plant through neural network
    • TRONCI S, BARATTI R, SERVIDA A. Monitoring pollution emission in a 4.8 MW power plant through neural network [J]. Neurocomputing, 2002, 43: 3-15.
    • (2002) Neurocomputing , vol.43 , pp. 3-15
    • Tronci, S.1    Baratti, R.2    Servida, A.3
  • 3
  • 4
    • 0032308212 scopus 로고    scopus 로고
    • Predicting coal ash fusion temperature with a back-propagation neural network model
    • YIN Chun-gen, LUO Zhong-yang, NI Ming-jiang, et al. Predicting coal ash fusion temperature with a back-propagation neural network model [J]. Fuel, 1998, 77(15): 1777-1782.
    • (1998) Fuel , vol.77 , Issue.15 , pp. 1777-1782
    • Yin, C.-G.1    Luo, Z.-Y.2    Ni, M.-J.3
  • 5
    • 0242269356 scopus 로고    scopus 로고
    • Artificial intelligence for the modeling and control of combustion processes: A review
    • KALOGIROU S A. Artificial intelligence for the modeling and control of combustion processes: A review [J]. Progress in Energy and Combustion Science, 2003, 29: 515-566.
    • (2003) Progress in Energy and Combustion Science , vol.29 , pp. 515-566
    • Kalogirou, S.A.1
  • 6
    • 11844293899 scopus 로고    scopus 로고
    • Application of non-linear theories in clean coal combustion
    • Hangzhou: Zhejiang University
    • YIN Chun-gen. Application of non-linear theories in clean coal combustion [D]. Hangzhou: Zhejiang University, 1998.
    • (1998)
    • Yin, C.-G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.