Skip to main content

Storage capacity of diluted neural networks

  • Conference paper
  • First Online:
Statistical Mechanics of Neural Networks

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

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. E. Gardner, J. Phys. A: Math. Gen. 21 (1988) 257

    Google Scholar 

  2. J. Phys. A: Math. Gen. 22 (1989) number 12

    Google Scholar 

  3. M. Bouten, A. Engel, A. Komoda and R. Serneels, Quenched versus Annealed Dilution in Neural Networks, submitted to J. Phys. A

    Google Scholar 

  4. B.M. Forrest, J. Phys. A: Math. Gen. 21 (1988) 245

    Google Scholar 

  5. T.B. Kepler and L.F. Abbott, J. Physique 49 (1988) 1657

    Google Scholar 

  6. W. Krauth and M. Mézard, J. Phys. A: Math. Gen. 20 (1987) 745

    Google Scholar 

  7. H. Sompolinsky, in Heidelberg Colloq. on Glassy Dynamics and Optimization, eds. Van Hemmen J.L. and Morgenstern I, Springer (1987)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Luis Garrido

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag

About this paper

Cite this paper

Bouten, M. (1990). Storage capacity of diluted neural networks. In: Garrido, L. (eds) Statistical Mechanics of Neural Networks. Lecture Notes in Physics, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3540532676_52

Download citation

  • DOI: https://doi.org/10.1007/3540532676_52

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53267-5

  • Online ISBN: 978-3-540-46808-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics