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Volumn 1, Issue , 2009, Pages 737-740

Modelling of combustion process characteristics of a 600 MW boiler by T-S fuzzy neural networks

Author keywords

Boiler combustion; BP ANN; K means clustering algorithms; Optimization; T S FNN

Indexed keywords

BOILER COMBUSTION; BP ANN; COAL QUALITY; COMBUSTION PRO-CESS; DATA NOISE; DATA-MINING TOOLS; FUZZY REASONING; K-MEANS CLUSTERING; K-MEANS CLUSTERING ALGORITHM; MEASURING DEVICE; OPERATING PARAMETERS; PRIMARY PARAMETERS; SUBNETWORKS; T-S FUZZY NEURAL NETWORK; TAKAGI-SUGENO; THERMAL EFFICIENCY; VALIDATION TEST;

EID: 77949580355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEET.2009.185     Document Type: Conference Paper
Times cited : (5)

References (6)
  • 2
    • 77949585283 scopus 로고    scopus 로고
    • Han Liqun. Artificial Neural Network Tutorial [M]. Beijing: Beijing University of Posts and Telecommunications Press. 2002.
    • Han Liqun. Artificial Neural Network Tutorial [M]. Beijing: Beijing University of Posts and Telecommunications Press. 2002.
  • 5
    • 77949613623 scopus 로고    scopus 로고
    • Application of Dynamic RBF Neural Network in Modeling of Nonlinear System [J]
    • Mei Kunpeng, Huang Xian. Application of Dynamic RBF Neural Network in Modeling of Nonlinear System [J]. Modern Electric Power, 2004(2):pp.18-22.
    • (2004) Modern Electric Power , vol.2 , pp. 18-22
    • Kunpeng, M.1    Xian, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.