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Statistical Mechanics of Neural Networks pp 237–252Cite as

Dynamics and storage capacity of neural networks with sign-constrained weights

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Part of the book series: Lecture Notes in Physics ((LNP,volume 368))

Abstract

This paper reviews recent work on neural network models with sign constrained weights. The review will cover learning rules for neural networks with sign constrained weights, the optimal storage capacity of these models and the effect on the dynamics of retrieval, non-retrieval and uniform attractors.

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Author information

Authors and Affiliations

  1. Department of Engineering Mathematics, Bristol University, University Walk, BS8 1TR, Bristol, UK

    C. Campbell

  2. Department of Theoretical Physics, Oxford University, 1 Keble Road, OX1 3NP, Oxford, UK

    K. Y. M. Wong

Authors
  1. C. Campbell
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  2. K. Y. M. Wong
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Editor information

Luis Garrido

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© 1990 Springer-Verlag

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Campbell, C., Wong, K.Y.M. (1990). Dynamics and storage capacity of neural networks with sign-constrained weights. In: Garrido, L. (eds) Statistical Mechanics of Neural Networks. Lecture Notes in Physics, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3540532676_53

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  • DOI: https://doi.org/10.1007/3540532676_53

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53267-5

  • Online ISBN: 978-3-540-46808-0

  • eBook Packages: Springer Book Archive

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