连续非对称神经网络的动力学特性
DYNAMIC PROPERTIES OF CONTINUOUS UNSYMMETIC NEURAL NETWORKS
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摘要: 本文讨论了连续非对称神经网络的动力学特性,给出了神经网络有唯一平衡点的条件,并讨论了当连接距阵T变化时不产生静态分叉和Hopf分叉的条件,给出了平衡点的全局渐近稳定性和全局指数稳定性的充分条件。Abstract: The dynamic properties of continuous unsymmetic neural networks are discussed, and the condition of existence of unique equilibrium point is obtained. The conditions not producing static state bifurcation and Hopf bifurcation are put forward and the sufficient conditions of overall asymptotic stability and exponential stability are obtained.
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