Predicting the Mackey Glass Chaotic Time Series Using Genetic Algorithm

In this paper, we investigate the accurate prediction ability of the chaotic time series. The considered chaotic system is Mackey glass time series. After inspection of Mackey glass equations, we investigate sensitivity and effect of parameters. The next step is to find unknown parameters using genetic algorithm. The result of GA shows that it is impossible to estimate accurate value of parameters. Hence, the new method has been proposed to improve the prediction by finding similar structures. At last by some examples it is shown that prediction with 100 steps ahead is possible