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Volumn 82, Issue 6, 2003, Pages 693-703

Constrained optimization of combustion in a simulated coal-fired boiler using artificial neural network model and information analysis

Author keywords

Artificial neural networks; Combustion; Constrained optimization; Information analysis

Indexed keywords

BENCHMARKING; CARBON MONOXIDE; COAL FIRED BOILERS; COMPUTER SOFTWARE; GAS EMISSIONS; INFORMATION ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; NITROGEN OXIDES; OPTIMIZATION;

EID: 0037381255     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0016-2361(02)00338-1     Document Type: Article
Times cited : (84)

References (22)
  • 2
    • 0029208448 scopus 로고
    • NO reduction in a fluidized bed combustor with primary measures and selective non-catalytic reduction
    • Nordin A., Eriksson L., Ohman M. NO reduction in a fluidized bed combustor with primary measures and selective non-catalytic reduction. Fuel. 74:(1):1993;128.
    • (1993) Fuel , vol.74 , Issue.1 , pp. 128
    • Nordin, A.1    Eriksson, L.2    Ohman, M.3
  • 4
    • 0028370144 scopus 로고
    • x control through boiler optimization
    • x control through boiler optimization. Power Engng. Feburary:1994;29.
    • (1994) Power Engng , vol.FEBURARY , pp. 29
    • George, E.M.1
  • 5
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko G. Approximation by superpositions of a sigmoidal function. Math Control Sign Syst. 2:1989;303.
    • (1989) Math Control Sign Syst , vol.2 , pp. 303
    • Cybenko, G.1
  • 6
    • 0032675088 scopus 로고    scopus 로고
    • Applications of artificial neural networks in energy systems: A review
    • Kalogirou S.A. Applications of artificial neural networks in energy systems: a review. Energy Conversion Mgmt. 40:1999;1073.
    • (1999) Energy Conversion Mgmt , vol.40 , pp. 1073
    • Kalogirou, S.A.1
  • 7
    • 0034131755 scopus 로고    scopus 로고
    • An intelligent emissions controller for fuel lean gas re-burn in coal-fired power plants
    • Reifman J., Feldman E.E., Wei T.Y.C., Glickert R.W. An intelligent emissions controller for fuel lean gas re-burn in coal-fired power plants. J Air Waste Mgmt Assoc. 50:2000;204-251.
    • (2000) J Air Waste Mgmt Assoc , vol.50 , pp. 204-251
    • Reifman, J.1    Feldman, E.E.2    Wei, T.Y.C.3    Glickert, R.W.4
  • 8
    • 0035545813 scopus 로고    scopus 로고
    • x pulverized coal combustion
    • x pulverized coal combustion. Fuel. 80:2001;2163.
    • (2001) Fuel , vol.80 , pp. 2163
    • Zhou, H.1    Cen, K.2    Mao, J.3
  • 9
    • 0032053937 scopus 로고    scopus 로고
    • Modeling the temporal evolution of a reduced combustion chemical system with an artificial neural network
    • Blasco J.A., Fueyo N., Dopazo C., Ballester J. Modeling the temporal evolution of a reduced combustion chemical system with an artificial neural network. Combust Flame. 113:1998;38.
    • (1998) Combust Flame , vol.113 , pp. 38
    • Blasco, J.A.1    Fueyo, N.2    Dopazo, C.3    Ballester, J.4
  • 10
    • 0032308212 scopus 로고    scopus 로고
    • Predicting coal ash fusion temperature with a back-propagation neural network model
    • Yin C., Luo Z., Ni M., Cen K. Predicting coal ash fusion temperature with a back-propagation neural network model. Fuel. 77:1998;1777.
    • (1998) Fuel , vol.77 , pp. 1777
    • Yin, C.1    Luo, Z.2    Ni, M.3    Cen, K.4
  • 11
    • 0343602824 scopus 로고    scopus 로고
    • The predictions of coal/char combustion rate using an artificial neural network approach
    • Zhu Q., Jones J.M., Williams A., Thomas K.M. The predictions of coal/char combustion rate using an artificial neural network approach. Fuel. 78:1999;1755.
    • (1999) Fuel , vol.78 , pp. 1755
    • Zhu, Q.1    Jones, J.M.2    Williams, A.3    Thomas, K.M.4
  • 12
    • 0032182666 scopus 로고    scopus 로고
    • A local model networks based multivariable long-range predictive control strategy for thermal power plant
    • Prasad G., Swidenbank E., Hogg B.W. A local model networks based multivariable long-range predictive control strategy for thermal power plant. Automatica. 34:(10):1998;1185.
    • (1998) Automatica , vol.34 , Issue.10 , pp. 1185
    • Prasad, G.1    Swidenbank, E.2    Hogg, B.W.3
  • 13
    • 0032046705 scopus 로고    scopus 로고
    • Product and process development using artificial neural-network model and information analysis
    • Chen J., Wong D.S.H., Jang S.-S., Yang S.-L. Product and process development using artificial neural-network model and information analysis. AIChE J. 44:(4):1998;876.
    • (1998) AIChE J , vol.44 , Issue.4 , pp. 876
    • Chen, J.1    Wong, D.S.H.2    Jang, S.-S.3    Yang, S.-L.4
  • 14
    • 0012753317 scopus 로고    scopus 로고
    • Thesis of Master Degree, National Tsinghua University, Taiwan
    • x emissions. Thesis of Master Degree, National Tsinghua University, Taiwan; 2001.
    • (2001) x Emissions
    • Chien, C.I.1
  • 18
    • 0016029778 scopus 로고
    • The relationship between variable selection and data augmentation and a method for prediction
    • Allen D.M. The relationship between variable selection and data augmentation and a method for prediction. Technometrics. 16:(1):1974;125.
    • (1974) Technometrics , vol.16 , Issue.1 , pp. 125
    • Allen, D.M.1
  • 22
    • 0031247342 scopus 로고    scopus 로고
    • x reduction test facility
    • x reduction test facility. Fuel. 76:(13):1997;1269.
    • (1997) Fuel , vol.76 , Issue.13 , pp. 1269
    • Hesselmann, G.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.