Neural network model of 100 W portable PEM fuel cell and experimental verification

International Journal of Hydrogen Energy

Volumn 35, Issue 17, 2010, Pages 9104-9109

  Sisworahardjo, N S ^a,b   Yalcinoz, T ^c   El Sharkh, M Y ^b   Alam, M S ^b  

^a BANDUNG INSTITUTE OF TECHNOLOGY   (Indonesia)

^b University of South Alabama   (United States)

^c MELIKSAH UNIVERSITY   (Turkey)

Author keywords

Direct hydrogen fed fuel cell; Fuel cell; Neural network model; PEMFC; Portable fuel cell

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; DIRECT HYDROGEN FED FUEL CELL; EXPERIMENTAL DATA; EXPERIMENTAL VERIFICATION; FUEL CELL SYSTEM; HIDDEN LAYERS; HYDROGEN FLOW; INCOMPLETE INFORMATION; LOW SENSITIVITY; MODEL PERFORMANCE; MULTILAYER FEEDFORWARD; NEURAL NETWORK MODEL; PEM FUEL CELL; PEMFC; PORTABLE FUEL CELLS; STATISTICAL INDICES; TRAINING ALGORITHMS;

BACKPROPAGATION ALGORITHMS; BIOINFORMATICS; HYDROGEN; NETWORK LAYERS; NEURAL NETWORKS;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 77956370373     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2010.05.124     Document Type: Article

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