Prediction techniques have the challenge of guaranteeing large horizons for chaotic time series. For instance, this paper shows that majority can predict one step ahead with relatively low root-mean-square error (RMSE) and Symmetric Mean Absolute Percentage Error (SMAPE). However, some based on neural networks more steps similar RMSE SMAPE values. In manner, work provides a summary prediction t...