The effect of synchronized area on SOC behavior in a kind of Neural Network Model

Simple item page
dc.creatorZhao, Xiao Wei
dc.creatorChen, Tian Lun
dc.date2000-03-12
dc.date.accessioned2026-07-07T05:32:44Z
dc.date.available2026-07-07T05:32:44Z
dc.descriptionBased on the LISSOM model and the OFC earthquake model, we introduce a self-organized feature map Neural Network model . It displays a "Self Organized Criticality"(SOC) behavior. It can be seen that the feature area (synchronized area) produced by self-organized process brings about some definite effect on SOC behavior and the system evolves into a "partly-synchronized" state. For explaining this phenomena, a quasi-OFC earthquake model is simulated.
dc.description11 pages,15 EPS files,uses REVtex4
dc.identifierhttps://arxiv.org/abs/nlin/0003030
dc.identifierhttp://arxiv.org/abs/nlin/0003030
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/79760
dc.subjectAdaptation and Self-Organizing Systems
dc.titleThe effect of synchronized area on SOC behavior in a kind of Neural Network Model
dc.typetext

Files

Collections

arXiv