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Virtual Connectivity through Structural Dissipation; Parallel Distributed Computation with Local Connectivity

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Book cover Theory and Applications of Neural Networks

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

This paper introduces the application of locally connected computing cells for distributed parallel processing. Cellular Automata are presented as a model of ultra fine grain parallelism, and a brief introduction to their notation and application provided. A machine architecture developed at the University of York, the Fuzzy Automata Machine (FAMe) is presented, and its application to Cellular Neural Networks discussed.

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© 1992 Springer-Verlag London Limited

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Taylor, R.W. (1992). Virtual Connectivity through Structural Dissipation; Parallel Distributed Computation with Local Connectivity. In: Taylor, J.G., Mannion, C.L.T. (eds) Theory and Applications of Neural Networks. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-1833-6_10

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  • DOI: https://doi.org/10.1007/978-1-4471-1833-6_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19650-1

  • Online ISBN: 978-1-4471-1833-6

  • eBook Packages: Springer Book Archive

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