Brain-Computer Interface (BCI) enables peoples with disabilities communicate the outer world by using electroencephalogram (EEG) signal. One of the most efficient paradigms, namely, the event-related potential (ERP) based BCI. As a result, the visual stimulation is being recognized to be a most efficient stimulus for a multiple BCI system. In this paper, therefore, we offline investigated the effects of visual flickering stimuli for ERP recording in terms of optimizing the parameter of visual simulation, which presents a time-locked EEG classification. Different experimental conditions were compared to achieve the best performance. The best experiment showed that the classification accuracy rate of 80% approximately when the stimulus epoch interval was 500 ms across 3 trials. It can be useful for implementing real-time multiple ERP based BCI system.