@inproceedings{SnchezMaroo2003SelforganizingMA, title={Self-organizing maps and functional networks for local dynamic modeling}, author={Noelia S{\'a}nchez-Maro{\~n}o and Oscar Fontenla-Romero and Amparo Alonso-Betanzos and Bertha Guijarro-Berdi{\~n}as}, booktitle={ESANN}, year={2003} }

- Published 2003 in ESANN

The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruction space using a memory structure. The second step, implemented by a self-organizing map (SOM), derives a set of local models from data. The third step is accomplished by a set of functional networks. The goal of the last network is to fit a local model from the winning neuron and a set of neighbors of the SOM map… CONTINUE READING

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