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Neural Network Dynamics pp 57–74Cite as

Deterministic Networks with Ternary Neurons

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

Abstract

The synaptic matrices for two subclasses of networks with ternary neurons are built. In the first subclass the evolution of the net is linear, in the second only a specific subset of independent states of the net evolves linearly. The possibility to use these networks as associative memories of large storage capacity is shown.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Fisica Teorica, Universita’ di Salerno, Italy

    Maria Marinaro

Authors
  1. Maria Marinaro
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Editor information

Editors and Affiliations

  1. Centre for Neural Networks, Department of Mathematics, King’s College, Strand, London, WC2R 2LS, UK

    J. G. Taylor BA, BSc, MA, PhD, FlnstP (Director) (Director)

  2. Dipartimento di Fisica Teorica, Università di Salerno, Via S. Allende, 84081, Baronissi (SA), Italy

    E. R. Caianiello

  3. Department of Biophysics, The Technical University of Denmark, Building 307, DK-2800, Lyngby, Denmark

    R. M. J. Cotterill BSc, MS, PhD, DSc, FlnstP, C.Phys.

  4. Department of Physics, Washington University, St Louis, Missouri, 63130, USA

    J. W. Clark

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© 1992 Springer-Verlag London Limited

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Marinaro, M. (1992). Deterministic Networks with Ternary Neurons. In: Taylor, J.G., Caianiello, E.R., Cotterill, R.M.J., Clark, J.W. (eds) Neural Network Dynamics. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-2001-8_5

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  • DOI: https://doi.org/10.1007/978-1-4471-2001-8_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19771-3

  • Online ISBN: 978-1-4471-2001-8

  • eBook Packages: Springer Book Archive

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