Modeling of a HTPEM fuel cell using Adaptive Neuro-Fuzzy Inference Systems

The performance of these models is then compared and it is found that using 3 membership functions provides the best compromise between performance and fast model evaluation. This model has a mean absolute error of 0.70%. It is concluded that the developed ANFIS model is suitable for optimization of fuel cell systems and as the steady state component in larger dynamic system models.