简单加权神经元模型在攻击下的自组织临界行为  

SOC Behavior of Weighted Neural Model with Attack Strategy

作　　者：杨秋英[1] 周正龙[1] 

机构地区：[1]常熟理工学院物理与电子工程学院,江苏常熟215500

出　　处：《常熟理工学院学报》2010年第2期41-44,共4页Journal of Changshu Institute of Technology

摘　　要：运用OFC地震模型的动力学机制(即累积一发放机制),引进了加权标度自由网络来模拟大脑的神经元模型,研究神经元模型的拓扑结构及其对自组织临界行为的影响.同时考虑到大脑的老化,研究了这种网络在受到攻击时的拓扑结构以及在累积一发放机制下的自组织临界行为.Based on weighted neuron model with the attack strategy, the self-organized criticality behavior is studied. In the model, the mechanism of integrate and fire of Olami-Feder-Christensen （OFC） model, which is similar to the mechanism of neuron model, is used. The weighted scale free network is introduced to simulate the brain, and to study the topology structure and effect on the SOC behavior. With the consideration of the aging in the brain, the topology structure and SOC behavior under the attack strategy are also investigated.

关 键 词：神经网络 加权网络 自组织临界性 

分 类 号：N93[自然科学总论]