Comparative study of computational intelligence approaches for NOx reduction of coal-fired boiler

Energy

Volumn 55, Issue , 2013, Pages 683-692

  Wei, Zhongbao ^a   Li, Xiaolu ^a   Xu, Lijun ^a   Cheng, Yanting ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Coal fired boiler; Computational intelligence approach; Operating parameters optimization

Indexed keywords

COAL; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; SIMULATED ANNEALING;

ARTIFICIAL NEURAL NETWORK MODELS; CORRELATION COEFFICIENT; OPERATING PARAMETERS; OPTIMIZATION ALGORITHMS; QUALITY OF SOLUTION; QUANTUM GENETIC ALGORITHM; SIMULATED ANNEALING-GENETIC ALGORITHMS; SUPPORT VECTOR REGRESSION (SVR);

COAL FIRED BOILERS;

ARTIFICIAL NEURAL NETWORK; COAL; COMPARATIVE STUDY; COMPUTER SYSTEM; CONCENTRATION (COMPOSITION); EMISSION CONTROL; EQUIPMENT; ERROR ANALYSIS; GENETIC ALGORITHM; HEATING; NITROGEN OXIDES; OPTIMIZATION; PARAMETERIZATION; REGRESSION ANALYSIS;

EID: 84878662812     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2013.04.007     Document Type: Article

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