Publication 1 Using the SOM and Local Models in Time−Series Prediction Juha Vesanto In Proceedings of Workshop on Self−Organizing Maps

@inproceedings{Vesanto1997Publication1U,
  title={Publication 1 Using the SOM and Local Models in Time−Series Prediction Juha Vesanto In Proceedings of Workshop on Self−Organizing Maps},
  author={Juha. Vesanto},
  year={1997}
}
  • Juha. Vesanto
  • Published 1997
In this paper we test the Self-Organizing Map (SOM) on the problem of predicting chaotic time-series (speci cally Mackey-Glass series) with local linear models de ned 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. 

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 58 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 15 references

SOM PAK: The Self-Organizing Map Program Package

  • T. Kohonen, J. Hynninen, J. Kangas, J. Laaksonen
  • Technical Report A31 at Helsinki University of…
  • 1996
1 Excerpt

Non-linear Modelling of Chaotic Time Series with Neural Networks

  • J. C. Principe, J-M. Kuo
  • Proc. of NIPS 7
  • 1995
1 Excerpt

Nonlinear Chaos Control by Neural Nets

  • R. Der, M. Herrmann
  • Proc. of the ICANN 94
  • 1994
2 Excerpts

Similar Papers

Loading similar papers…