QUALITY AND EFFICIENCY OF RETRIEVAL FOR WILLSHAW-LIKE AUTOASSOCIATIVENETWORKS .3. WILLSHAW-POTTS MODEL

Authors
KARTASHOV A FROLOV A GOLTSEV A FOLK R
Citation
A. Kartashov et al., QUALITY AND EFFICIENCY OF RETRIEVAL FOR WILLSHAW-LIKE AUTOASSOCIATIVENETWORKS .3. WILLSHAW-POTTS MODEL, Network, 8(1), 1997, pp. 71-86
Citations number
11
Categorie Soggetti
Mathematical Methods, Biology & Medicine",Neurosciences,"Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence
Journal title
Network → ACNP
ISSN journal
0954898X
Volume
8
Issue
1
Year of publication
1997
Pages
71 - 86
Database
ISI
SICI code
0954-898X(1997)8:1<71:QAEORF>2.0.ZU;2-D
Abstract
We study the recognition and correction properties of a structured ass ociative memory with a floating threshold which can be considered a mo dification of the Willshaw network and bears some resemblance to a net work of Potts neurons. An analytical study is performed for the asympt otic case of large networks and single-step retrieval. The main inform ational characteristics of the network are obtained; the number of spu rious stable states and the size of their attraction basins are calcul ated. A comparison is made with the Willshaw network considered earlie r in this series of papers.