具有时变权矩阵的离散Hopfield神经网络的稳定性

Stability of Discrete Hopfield Neural Networks with Time-Variable Weighting Matrix

摘要:

研究了以并行工作模式进行演化的具有时变连接权矩阵的离散Hopfield神经网络,得到了判定网络稳定 的2个充分条件,改进了已有结果。

Abstract:

In this paper, a class of discrete Hopfield neural networks with variable weighting matrix in parallel updatemode was studied. Several sufficient conditions were obtained to guarantee the stability of the neural networks. These re.sults improved and extended the existing results.