Optimal storage capacity for diluted multi-state neural networks: continuous and discrete couplings

D. Bollé, P. Dupont and J. van Mourik

Physica A: Statistical Mechanics and its Applications, 1992, vol. 185, issue 1, 357-362

Abstract: Using the Gardner approach, the optimal storage capacity is considered for diluted networks with multi-state neurons and spherical or local constraints on the couplings. The first results are discussed about its dependence upon the number of states of the neuron, the amount of dilution and the number of discrete values for the couplings.

Date: 1992
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0378437192904756
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:185:y:1992:i:1:p:357-362

DOI: 10.1016/0378-4371(92)90475-6

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().