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Bayesian Properties and Performances of Adaptive Fuzzy Systems in Pattern Recognition Problems

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ICANN ’94 (ICANN 1994)

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Abstract

Generally, Neural Networks are used to solve problems for which a-priori knowledge is provided, in an implicit way, through numerical relationships among variables (e.g., pattern recognition). Fuzzy Systems are successfully employed mainly to solve problems for which a-priori knowledge is available in linguistic form (e.g., process control).

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References

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Author information

Authors and Affiliations

  1. Department of Physics, University of Genoa, Via Dodecaneso 33, 16146, Genova, Italy

    F. Masulli

  2. DISI — Department of Computer and Information Sciences, University of Genoa, Via Benedetto XV, 3, 16132, Genova, Italy

    F. Casalino

  3. INFM Research Unit of Genoa, Via Dodecaneso 33, 16146, Genova, Italy

    F. Masulli & F. Vannucci

Authors
  1. F. Masulli
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  2. F. Casalino
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  3. F. Vannucci
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Editor information

Editors and Affiliations

  1. Dipartimento di Fisica Teorica e S.M.S.A, University of Salerno, Via S. Allende, 84081, Barnossi, Salerno, Italy

    Maria Marinaro

  2. Dipartimento di Informatica,Sistemistica,Telematica, University of Genova, Via Opera Pia 11A, 16145, Genova, Italy

    Pietro G. Morasso

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© 1994 Springer-Verlag London Limited

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Masulli, F., Casalino, F., Vannucci, F. (1994). Bayesian Properties and Performances of Adaptive Fuzzy Systems in Pattern Recognition Problems. In: Marinaro, M., Morasso, P.G. (eds) ICANN ’94. ICANN 1994. Springer, London. https://doi.org/10.1007/978-1-4471-2097-1_44

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  • DOI: https://doi.org/10.1007/978-1-4471-2097-1_44

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  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19887-1

  • Online ISBN: 978-1-4471-2097-1

  • eBook Packages: Springer Book Archive

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