Real time modelling of the dynamic mechanical behaviour of PEMFC thanks to neural networks

Engineering Applications of Artificial Intelligence

Volumn 26, Issue 2, 2013, Pages 706-713

  Paclisan, Dana ^a,b   Charon, Willy ^a,b  

^a France   (France)

^b UNIVERSITÉ DE TECHNOLOGIE DE BELFORT MONTBÉLIARD   (France)

Author keywords

Artificial intelligence; Fuel cell; Neural networks; Vibrations

Indexed keywords

COMPLEX DYNAMICS; DYNAMIC BEHAVIOURS; DYNAMIC MECHANICAL; ENDURANCE TEST; EXPERIMENTAL CONDITIONS; FUEL CELL SYSTEM; NUMERICAL TOOLS; PHYSICAL MODEL; RANDOM EXCITATIONS; REAL TIME; VIBRATION TEST; VIBRATIONS;

ARTIFICIAL INTELLIGENCE; FUEL CELLS; FUEL SYSTEMS; MECHANICAL ENGINEERING; MODELS; NETWORK ARCHITECTURE; NEURAL NETWORKS;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 84872676646     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2012.09.014     Document Type: Article

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