Abstract:Multitudinous parameters involved have made the direct methanol fuel cell (DMFC) acomplex "black-box," posing challenges and difficulties in its modeling. This paper presents a neural network (NN) model with immune-based particle swarm optimization (IPSO) approach of the DMFC system, which is different from the conventional complex mathematical models. With the actual operation of DMFC taken into consideration, the polarization curves are run under a stable condition as the reference data for training the mode… Show more
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