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Network performance assessment for Neurofuzzy data modelling

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Advances in Intelligent Data Analysis Reasoning about Data (IDA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1280))

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Abstract

This paper evaluates the performance of ten significance measures applied to the problem of determining an appropriate network structure, for data modelling with neurofuzzy systems. The advantages of Neurofuzzy systems are demonstrated with application to both real and synthetic data interpretation problems.

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References

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Author information

Authors and Affiliations

  1. ISIS group, Dept.of Electronics and Computer Science, University of Southampton, UK

    Steve R. Gunn, Martin Brown & Kev M. Bossley

Authors
  1. Steve R. Gunn
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  2. Martin Brown
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  3. Kev M. Bossley
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Editor information

Xiaohui Liu Paul Cohen Michael Berthold

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© 1997 Springer-Verlag

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Gunn, S.R., Brown, M., Bossley, K.M. (1997). Network performance assessment for Neurofuzzy data modelling. In: Liu, X., Cohen, P., Berthold, M. (eds) Advances in Intelligent Data Analysis Reasoning about Data. IDA 1997. Lecture Notes in Computer Science, vol 1280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0052850

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  • DOI: https://doi.org/10.1007/BFb0052850

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63346-4

  • Online ISBN: 978-3-540-69520-2

  • eBook Packages: Springer Book Archive

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