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Regression by topological map: Application on real data

  • Daigremont Ph. 
  • Lassus H. de 
  • Badran F. 
  • Thiria S. 
Oral Presentations: Applications Scientific Applications I
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1112)

Abstract

We address the problem of oceanographic data regression with constrainted Kohonen self-organizing maps. Using constrainted topological mapping algorithm on real data, we show that it is well suited to geographic needs. It appears as an elegant way to overcome uneven spatial sampling problems.

Keywords

Constrainted topological mapping Nonparametric regression Oceanographic data analysis 

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References

  1. 1.
    Najafi Cherkasski. Constrainted topological mapping for nonparametric regression analysis. Neural Network, 4:27–40, 1991.Google Scholar
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    Hardle. Applied Nonparametric Regression. Cambridge University Press, Cambridge, 1990.Google Scholar
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    Hardle. Smoothing techniques with implementation in S. Springer-Verlag, New York, 1991.Google Scholar
  4. 4.
    Kohonen. Self-organisation and associative memory. Springer-Verlag, 3rd edition, 1995.Google Scholar
  5. 5.
    Schulten Ritter, Martinetz. Neural Computation and Self-Organizing Maps, An Introduction. Addison-Wesley Publishing Company, 1992.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Daigremont Ph. 
    • 1
  • Lassus H. de 
    • 3
  • Badran F. 
    • 1
  • Thiria S. 
    • 1
    • 2
  1. 1.CEDRIC, Conservatoire National des Arts et MétiersParisFrance
  2. 2.Laboratoire d'Océanographie et de Climatologie (LODYC)Université de Paris VIParisFrance
  3. 3.Laboratoire ARPEGES, CNRS URA 1757Observatoire de Paris-MeudonMeudon cedexFrance

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