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International Conference on Evolvable Systems

ICES 1996: Evolvable Systems: From Biology to Hardware pp 277–288Cite as

Architecture of cell array neuro-processor

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1259))

Abstract

We propose Cell Array(CA) to develop a PCA(Processing Cell Array) architecture as advocated in Reference [1] to improve the free degree of the composition of the instruction control unit and the memory. Also, we propose a connection method among cells to establish the architecture of the entire processor element. Our goal is to check the architecture, control sequence and it's performance. We took the back-propagation learning law as an example, because it is the typical model of the neural network.

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References

  1. Morishita, T., and Teramoto, I.: Processing Cell Array Neural Network Multiprocessors proc. of IEEE International Conference on Neural Networks (1995) 1470–1473

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  3. Morishita, T., Tamura, Y., Satonaka, T., Inoue, A., Katsu, S., and Otsuki, T.: A Digital Neural Network Coprocessor with a Dynamically Reconfigurable Pipeline Architecture IEICE Trans. Electron., Vol. E76-C, No. 7 (1993) 1191–1196.

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  6. Rumelhart, D.E., McClell, J.L., and the PDP Research Group: Parallel Distributed Processing. MIT Press, Cambridge, 1986.

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Authors and Affiliations

  1. Okayama Prefectural University, Soja, 719-11, Okayama, Japan

    Takayuki Morishita & Iwao Teramoto

Authors
  1. Takayuki Morishita
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  2. Iwao Teramoto
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Editor information

Tetsuya Higuchi Masaya Iwata Weixin Liu

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© 1997 Springer-Verlag Berlin Heidelberg

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Morishita, T., Teramoto, I. (1997). Architecture of cell array neuro-processor. In: Higuchi, T., Iwata, M., Liu, W. (eds) Evolvable Systems: From Biology to Hardware. ICES 1996. Lecture Notes in Computer Science, vol 1259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63173-9_53

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  • DOI: https://doi.org/10.1007/3-540-63173-9_53

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63173-6

  • Online ISBN: 978-3-540-69204-1

  • eBook Packages: Springer Book Archive

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