Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2000-03-12
Nonlinear Sciences
Adaptation and Self-Organizing Systems
11 pages,15 EPS files,uses REVtex4
Scientific paper
Based 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.
Chen Tian Lun
Zhao Xiao Wei
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