1.
Phys Rev E Stat Nonlin Soft Matter Phys
; 68(6 Pt 1): 062901, 2003 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-14754246
RESUMO
A study of the time evolution and a stability analysis of the phases in the extremely diluted Blume-Emery-Griffiths neural network model are shown to yield new phase diagrams in which fluctuation retrieval may drive pattern retrieval. It is shown that saddle-point solutions associated with fluctuation overlaps slow down the flow of the network states towards the retrieval fixed points. A comparison of the performance with other three-state networks is also presented.