Modeling a dead-timesystem is a common issue in engineering applications. To address this issue,existing research has employed neural networks and fuzzy logic-based intelligentsystems. Herein, a dead-time system modeled with the aid of support vectormachine regression, which has a good generalization feature, was investigated.The performance of the method proposed herein was examined with differentparameters in linear and nonlinear dead-time systems.