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Contextual kohonen SOM with orthogonal weight estimator principle

  • Part IV: Signal Processing: Blind Source Separation, Vector Quantization, and Self Organization
  • Conference paper
  • First Online:
Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

We present in this paper the embedding of the Othogonal Weight Estimator (OWE) principle in Kohonen self-organizing maps (SOM). The resulting architecture is a context-independant classification system. The modification of the SOM architecture is that the weights of the SOM are computed by a MLP feds by the context of the presented pattern. We show the results on not trivial problem that underline the capacities of this new architecture.

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References

  1. Fort, J.C., Pages, G.: Quantization vs Organization in the Kohonen S.O.M. In ESANN'96 Proceedings, D Facto Brussels Belgium. Bruges April 24–26, 1996.

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  2. Kohonen, T.: Self-Organizing Maps. Springer Series in Information Sciences, Springer, New York 1995.

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  3. Pican, N., Fort, J.C, and Alexandre, F.: Lateral Contribution Learning Algorithm for Multi-MLP Architecture. ESANN'94 Proceedings, D Facto Brussels Belgium. April 20–22, 1994.

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  4. Pican, N., Fort, J.C, and Alexandre, F.: An On-line Learning Algorithm for the Orthogonal Weight Estimation of MLP. Neural Processing Letters, D Facto Brussels Belgium. 1(1) (1994), 21–24.

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  5. Pican, N., Fohr, D., and Mari, J.F HMMs and OWE Neural Network for Continuous Speech Recognition. In Proceedings of International Conference on Spoken Language Processing, ICSLP. Philadelphia October 3–6, 1996.

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  6. Pican, N.: Intrinsic and Parallel performances of the OWE Neural Network. In Proceedings of International Conference on Artificial Neural Networks, ICANN. Bochum, Germany. 1996.

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Author information

Authors and Affiliations

  1. CRIN-CNRS / INRIA, F-54506, Vandoeuvre-lès-Nancy Cedex, France

    Nicolas Pican

Authors
  1. Nicolas Pican
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Pican, N. (1997). Contextual kohonen SOM with orthogonal weight estimator principle. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020231

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  • DOI: https://doi.org/10.1007/BFb0020231

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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