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Polymeric electrolyte membrane fuel cell (PEMFC) systems are potentially promising candidates as alternative energy sources, modeling this kind of system is a difficult task due it is strongly dependent on many physicochemical parameters that cannot be easily measured on the real system. Artificial neural network (ANN) has become in a powerful modeling tool for performance prediction of complex systems...
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