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Design and Codesign of Neuro-fuzzy Hardware

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Bio-Inspired Applications of Connectionism (IWANN 2001)

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Abstract

This paper presents an annotated overview of existing hardware implementations of artificial neural and fuzzy systems and points out limitation, advantages and drawbacks of analog, digital, pulse stream (spiking) and other techniques. The paper also analyzes hardware performance parameters and tradeoffs, and the bottlenecks intrinsic in several implementation methodologies.

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Author information

Authors and Affiliations

  1. Dipartimento di Elettronica, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, TORINO, ITALY

    L. M. Reyneri

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  1. L. M. Reyneri
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Reyneri, L.M. (2001). Design and Codesign of Neuro-fuzzy Hardware. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_2

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  • DOI: https://doi.org/10.1007/3-540-45723-2_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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