时滞离散Hopfield神经网络的稳定性

H. Gao, J. Zhang, W. Qin
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引用次数: 1

摘要

具有时滞的离散Hopfield神经网络是对离散Hopfield神经网络的扩展。采用定义能量函数的方法研究了具有时滞的离散Hopfield神经网络的动态行为。分别给出了时延网络收敛于长度不超过2的极限环的条件和时延网络收敛于长度为4的极限环的条件。所得结果推广了已有的关于有延迟和无延迟离散Hopfield神经网络稳定性的研究结果。
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Stability for Discrete Hopfield Neural Networks with Delay
Discrete Hopfield neural network with delay is an extension of discrete Hopfield neural network. The dynamic behavior of discrete Hopfield neural networks with delay is mainly studied by using the method of defining energy function. The conditions for the networks with delay converging towards a limit cycle with length at most 2 and the conditions for the networks with delay converging towards a limit cycle with length 4 are respectively given. The obtained results here extend the existing results on stability of discrete Hopfield neural network with delay and without delay.
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