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Neural Networks: Artificial Intelligence and Industrial Applications pp 199–202Cite as

A Constructive Algorithm for Building a Feed-Forward Neural Network

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Abstract

We propose an efficient procedure for constructing and training a feed-forward neural network with a single hidden layer. The procedure can also be extended to construct neural networks with binary-valued weights.

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References

  1. M. Marchand, M. Golea and P. Rujan, Europhysics Letters 11(1990)487–492.

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  2. M. Frean, Neural Computation 2(1990)198–209.

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  5. C. Campbell and C. Perez Vicente, Neural Computation 7 (to appear); C.Campbell and C. Perez Vicente, “Constructing Feed-Forward Neural Networks for Binary Classification Tasks” Proceedings ESANN’95, D. Facto Publications, Brussels, 1995, p. 241–246.

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Author information

Authors and Affiliations

  1. Dept. of Engineering Mathematics, Bristol University, Bristol, BS8 1TR, UK

    C. Campbell & S. Coombes

  2. Dept. of Computer Science, University of Nebraska, Lincoln, Nebraska, 68588, USA

    A. Surkan

Authors
  1. C. Campbell
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  2. S. Coombes
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  3. A. Surkan
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Editor information

Editors and Affiliations

  1. Dutch Foundation for Neural Networks (SNN), Geert Grooteplein Noord 21, 6525 EZ, Nijmegen, The Netherlands

    Bert Kappen  & Stan Gielen  & 

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© 1995 Springer-Verlag London Limited

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Cite this paper

Campbell, C., Coombes, S., Surkan, A. (1995). A Constructive Algorithm for Building a Feed-Forward Neural Network. In: Kappen, B., Gielen, S. (eds) Neural Networks: Artificial Intelligence and Industrial Applications. Springer, London. https://doi.org/10.1007/978-1-4471-3087-1_38

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  • DOI: https://doi.org/10.1007/978-1-4471-3087-1_38

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19992-2

  • Online ISBN: 978-1-4471-3087-1

  • eBook Packages: Springer Book Archive

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