Time Series Prediction with the Self-Organizing Map: A Review

@inproceedings{Barreto2007TimeSP,
  title={Time Series Prediction with the Self-Organizing Map: A Review},
  author={Guilherme De A. Barreto},
  booktitle={Perspectives of Neural-Symbolic Integration},
  year={2007}
}
We provide a comprehensive and updated survey on applications of Kohonen’s self-organizing map (SOM) to time series prediction (TSP). The main goal of the paper is to show that, despite being originally designed as an unsupervised learning algorithm, the SOM is flexible enough to give rise to a number of efficient supervised neural architectures devoted to TSP tasks. For each SOM-based architecture to be presented, we report its algorithm implementation in detail. Similarities and differences… CONTINUE READING

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