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Abstract

In this paper a rule extraction method for a multilayered neural network is proposed. The method is not only able to extract rules from a neural network trained with boolean valued inputs but also from a neural network trained with continuous valued inputs.

Simulations using test data of which the rules are known a priori demonstrate the ability of this method to extract comprehensible and valid rules.

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References

  1. Ichiro Enbutsu Kenji Baba and Naoki Hara, Fuzzy Rule Extraction from a Multilayered Neural Network, NEW YORK, 1991

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  2. LiMin Fu, Rule Generation from Neural Networks,IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, VOL. 24, NO. 8, August 1994

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  3. J. Denker, D. Schwarts, B. Wittner, S. Solla, R. Howard, L. Jackel and J. Hopfield, Large Automatic Learning, Rule Extraction and Generalization, Complex Systems 1, pag. 877–922, 1987

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© 1995 Springer-Verlag London Limited

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Wiersma, F.R., Poel, M., Oudshoff, A.M. (1995). The BB Neural Network Rule Extraction Method. 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_13

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  • DOI: https://doi.org/10.1007/978-1-4471-3087-1_13

  • 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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