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Cmos implementation of a cellular neural network with dynamically alterable cloning templates

  • Hardware Implementations
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Artificial Neural Networks (IWANN 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 540))

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Abstract

An analog CMOS implementation of a Cellular Neural Network with modifiable cloning templates is proposed. One of the most important difficulties to hardware implement neural networks is their topological complexity which implies a high number of interconnections among cells. Nevertheless, as in cellular neural network each cell is only connected to its neighbour cells, their hardware implementation is easier. Even though the reduced connectivity of cellular neural networks, they are suitable for different tasks in the domain of image processing. For each particular application, the cloning templates that characterise the cellular network have to be changed. The circuit here presented allows the online modification of cloning templates, and is integrable using a conventional CMOS process. Some simulation results of the designed circuits are also presented.

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Authors and Affiliations

  1. Departamento de Electrónica y Tecnología de Computadores Facultad de Ciencias, Universidad de Granada, 18071, Granada

    M. Anguita, A. Prieto, F. J. Pelayo, J. Ortega & A. Diaz

Authors
  1. M. Anguita
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  2. A. Prieto
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  3. F. J. Pelayo
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  4. J. Ortega
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  5. A. Diaz
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Alberto Prieto

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© 1991 Springer-Verlag Berlin Heidelberg

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Anguita, M., Prieto, A., Pelayo, F.J., Ortega, J., Diaz, A. (1991). Cmos implementation of a cellular neural network with dynamically alterable cloning templates. In: Prieto, A. (eds) Artificial Neural Networks. IWANN 1991. Lecture Notes in Computer Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035902

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  • DOI: https://doi.org/10.1007/BFb0035902

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54537-8

  • Online ISBN: 978-3-540-38460-1

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