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Analog sequential architecture for neuro-fuzzy models VLSI implementation

  • Part VIII: Implementations
  • Conference paper
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

An analog sequential architecture for efficient neuro-fuzzy models implementation is proposed. The best features of digital and analog domains are combined to provide a high degree of flexibility (in terms of number of inputs, number of membership functions per input and number of fuzzy rules) when handling real world tasks. The performance estimations show a good area/throughput ratio, thus making the architecture suitable for a wide range of applications.

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References

  1. L.A. Zadeh, “Fuzzy Sets”, Information and Control, 8, pps. 338–353, 1965.

    Google Scholar 

  2. M.J. Patyra, J.L. Grantner, K. Koster, “Digital Fuzzy Logic Controller: Design and Implementation”, IEEE Transactions on Fuzzy Systems, Vol. 4, No. 4, pps.439–459, Nov. 1996.

    Google Scholar 

  3. H. Eichfeld, T. Künemund, M. Menke, “A 12b General-Purpose Fuzzy Logic Controller Chip”, IEEE Transactions on Fuzzy Systems, Vol. 4, No. 4, pps.460–475, November 1996.

    Google Scholar 

  4. S. Guo, L. Peters, H. Surmann, “Design and Application of an Analog Fuzzy Logic Controller”, IEEE Transactions on Fuzzy Systems, Vol. 4, No. 4, pps. 429–438, November 1996.

    Google Scholar 

  5. T. Yamakawa, “A Fuzzy Inference Engine in Nonlinear Analog Mode and its Application to a Fuzzy Logic Controller”, IEEE Transactions on Neural Networks, Vol. 4, pps. 496–522, May 1993.

    Google Scholar 

  6. J.M. Moreno, F. Castillo, J. Cabestany, J. Madrenas, A. Napieralski, “An Analog Systolic Neural Processing Architecture”, IEEE Micro, Vol. 14, No. 3, pps. 51–59, June 1994.

    Google Scholar 

  7. T. Takagi, M. Sugeno, “Fuzzy Idendification of Systems and its Application to Modeling and Control”, IEEE Transactions on Systems, Man and Cybernetics, Vol. 15, pps. 116–132, 1985.

    Google Scholar 

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Authors and Affiliations

  1. Department of Electronic Engineering, Universitat Politècnica de Catalunya, Gran Capità s/n, mòdul C4, 08034, Barcelona, Spain

    J. M. Moreno, J. Madrenas, E. Alarcón & J. Cabestany

Authors
  1. J. M. Moreno
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  2. J. Madrenas
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  3. E. Alarcón
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  4. J. Cabestany
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Moreno, J.M., Madrenas, J., Alarcón, E., Cabestany, J. (1997). Analog sequential architecture for neuro-fuzzy models VLSI implementation. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020314

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  • DOI: https://doi.org/10.1007/BFb0020314

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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