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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2003: Knowledge-Based Intelligent Information and Engineering Systems pp 629–636Cite as

Do Neurofuzzy Systems Have Chances in Industrial Applications?

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

This paper analyzes the stage of maturity that neurofuzzy systems (and soft computing in general) have recently reached and tackles the several reasons why they have not yet reached a widespread acceptance in industrial and agronomic applications, despite the good performance they can offer with a reduced design effort.

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References

  1. Reyneri, L.M.: Unification of Neural and Wavelet Networks and Fuzzy Systems. IEEE Trans. on Neural Networks 10(4), 801–814 (1999)

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  2. Haykin, S.: Neural Networks: A Comprehensive Foundation. Mc Millan College Publishing Company, New York (1994)

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  3. Zhang, Q.: Using Wavelet Network in Non-parametric Estimation. IEEE Transactions on Neural Networks 8(2), 227–236 (1997)

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  4. Colla, V., Sgarbi, M., Reyneri, L.M.: A Comparison Between Weighted Radial Basis Functions and Wavelet Networks. In: Proc. of ESANN 1998, Bruges, Belgium, April 22-24, pp. 13–19 (1998)

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Author information

Authors and Affiliations

  1. Politecnico di Torino, C. so Duca degli Abruzzi, 24, 10129, Torino, Italy

    Leonardo M. Reyneri

Authors
  1. Leonardo M. Reyneri
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Cite this paper

Reyneri, L.M. (2003). Do Neurofuzzy Systems Have Chances in Industrial Applications?. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_87

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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