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It is necessary to built an accurate model of direct methanol fuel cell (DMFC) as a complex nonlinear multi-input multi-output system .In this paper .the methanol concentrations, temperature and current were considered as inputs, the cell voltage was taken as output, and the performance of a direct methanol fuel cell was modeled by neural network model. This model is based on Matlab / Simulink software .The simulation shows that the neural network model has better accuracy than the physical model, while analyzing the performance of the DMFC in different temperatures and concentrations.