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Volumn 80, Issue 15, 2001, Pages 2163-2169

Combining neural network and genetic algorithms to optimize low NOx pulverized coal combustion

Author keywords

Coal combustion; Genetic algorithms; Neural network; NOx emission

Indexed keywords

GENETIC ALGORITHMS; NEURAL NETWORKS; NITROGEN OXIDES; OPTIMIZATION; PARTICULATE EMISSIONS; PULVERIZED FUEL;

EID: 0035545813     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0016-2361(01)00104-1     Document Type: Article
Times cited : (87)

References (27)
  • 7
    • 0027569262 scopus 로고
    • A comparison of NO release from coals and entrained-flow reactor during temperature-programmed combustion
    • (1993) Fuel , vol.72 , pp. 359-365
    • Brown, S.D.1    Thomas, K.M.2
  • 22
    • 0032308212 scopus 로고    scopus 로고
    • Predicting coal ash fusion temperature with a back-propagation neural network model
    • (1998) Fuel , vol.77 , pp. 1777-1782
    • Yin, C.1    Luo, Z.2    Ni, M.3    Cen, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.