Conventional computers based on Von Neumann architecture are unable to process complex sequential data with high efficiency. This work investigates why Delay-based Reservoir Computing (DRC) is preferred this architecture, by performing Mackey-Glass chaotic time series prediction. The outcome of the prediction and the role of the Memory Capacity (MC) for such system are presented, with simulations done in MATLAB Simulink. This developed algorithm performs with a Mean Square Error (MSE) of 1.2314×〖10〗^(-3) per predicted digit.