一类推广的BAM模型的全局渐近稳定性分析

Analysis on global asymptotic stability for a kind of extended BAM models

在B KOSKO双向联想记忆模型(BAM模型)上,引入了变时滞,去掉了连接权矩阵对称的要求. 利用构造Liaponov泛函,得到了此动力学系统全局渐近稳定的条件. 所得结果,在人工神经网络理论和应用研究中具有实际意义.

In the paper, by use of Liaponov functional analysis, the global asymptotic stability of bi-directional associative memory models (BAM) with variable delays are studied. The obtained results are of important significance in study of theory and application for artificial neural networks.