Metamodel based design optimization approach in promoting the performance of proton exchange membrane fuel cells

International Journal of Hydrogen Energy

Volumn 36, Issue 23, 2011, Pages 15283-15294

  Miao, Jr Ming ^a   Cheng, Shan Jen ^b   Wu, Sheng Ju ^c  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b Army Academy ROC   (Taiwan)

^c NATIONAL DEFENSE UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network (ANN); Design of experiment (DoE); Genetic algorithm (GA); Metamodel based design optimization (MBDO); Proton exchange membrane fuel cell (PEMFC)

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACKPROPAGATION NETWORK; DESIGN OF EXPERIMENT (DOE); DESIGN OPTIMIZATION; FRACTIONAL FACTORIAL EXPERIMENTAL DESIGN; INTERACTION EFFECT; META MODEL; METAMODELING; NON-LINEAR MODEL; OPTIMAL DESIGN; PEMFC SYSTEMS; POWER DENSITIES; PROTON EXCHANGE MEMBRANES; QUALITY CHARACTERISTIC; ROBUST PERFORMANCE; TEST EQUIPMENTS;

DESIGN; DESIGN OF EXPERIMENTS; EXPERIMENTS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; NEURAL NETWORKS; OPTIMIZATION; PROTONS; TAGUCHI METHODS; TESTING;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 80054681917     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2011.08.070     Document Type: Article

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