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Modelling conditional probabilities with committees of RVFL networks

  • Part VII: Prediction, Forecasting, and Monitoring
  • Conference paper
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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

Training neural networks for predicting conditional probabilities can be accelerated considerably by the incorporation of the Random Vector Functional Link (RVFL) concept. This allows the creation of a large committee of predictors, which was found to lead to a significant improvement of the generalisation performance.

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Authors and Affiliations

  1. Department of Mathematics, King's College London, The Strand, WC2R 2LS, London, England

    Dirk Husmeier & John G. Taylor

Authors
  1. Dirk Husmeier
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  2. John G. Taylor
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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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Husmeier, D., Taylor, J.G. (1997). Modelling conditional probabilities with committees of RVFL networks. 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/BFb0020292

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  • DOI: https://doi.org/10.1007/BFb0020292

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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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