An artificial neural network has been developed for the design and simulation of the catalytic properties of a metal-support system based on Co/CeO2 for the steam reforming of ethanol. Ethanol (8% and 10% vol) was considered as raw material for hydrogen production by steam reforming. This investigation has employed this artificial neural network modeling to describe the complex relationship between ethanol steam reforming and the Co/CeO2 catalyst used in the process. The estimation of accuracy of the newly created neural network will be tested on a set of input data, which are already known, determined values for output. Specifically, the neural network was used to determine the optimum conditions for obtaining maximum hydrogen production.