Modeling of a 5-cell direct methanol fuel cell using adaptive-network-based fuzzy inference systems

Journal of Power Sources

Volumn 185, Issue 2, 2008, Pages 1201-1208

  Wang, Rongrong ^a   Qi, Liang ^a   Xie, Xiaofeng ^a   Ding, Qingqing ^a   Li, Chunwen ^a   Ma, ChenChi M ^b  

^a TSINGHUA UNIVERSITY   (China)

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Adaptive network based fuzzy inference system (ANFIS); Artificial neural network (ANN); Direct methanol fuel cell (DMFC); Modeling; Polynomial based model

Indexed keywords

BACKPROPAGATION; CELLS; CONCENTRATION (PROCESS); CYTOLOGY; ELECTRIC BATTERIES; ELECTROCHEMISTRY; FUEL CELLS; FUELS; FUZZY INFERENCE; FUZZY SYSTEMS; IMAGE CLASSIFICATION; METHANOL; METHANOL FUELS; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; SOLID OXIDE FUEL CELLS (SOFC);

ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM (ANFIS); ANFIS MODELS; ARTIFICIAL NEURAL NETWORK (ANN); ARTIFICIAL NEURAL NETWORKS; CELL VOLTAGES; CURRENT RANGES; DIRECT METHANOLS; FUEL UTILIZATIONS; FUZZY INFERENCE SYSTEMS; METHANOL CONCENTRATIONS; MODELING;

DIRECT METHANOL FUEL CELLS (DMFC);

EID: 56049086086     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2008.06.090     Document Type: Article

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