Abstract:
In this paper we test the Self-Organizing Map (SOM) on the problem of predicting chaotic time-series (specifically Mackey-Glass series) with local linear models defined separately for each of the prototype vectors of the SOM. We see that the method achieves good results. This together with the capabilities of the SOM make it a valuable tool in exploratory data mining.