首页> 外文会议>International Conference on Intelligent Computing(ICIC 2006); 20060816-19; Kunming(CN) >Stability Conditions for Discrete Hopfield Neural Networks with Delay
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Stability Conditions for Discrete Hopfield Neural Networks with Delay

机译:时滞离散Hopfield神经网络的稳定性条件

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摘要

The stability of discrete Hopfield neural networks with delay is mainly studied by the use of the state transition equation and the energy function, and some results on the stability are given. The sufficient conditions for the networks with delay converging towards a limit cycle with length 4 are presented. Also, one condition ensuring the network with delay having neither a stable state nor a limit cycle with length 2 is given. The obtained results here partially extend some existing results on stability of discrete Hopfield neural network with delay and without delay.
机译:主要利用状态转移方程和能量函数研究了具有时滞的离散Hopfield神经网络的稳定性,并给出了一些关于稳定性的结果。给出了具有延迟的网络收敛到长度为4的极限环的充分条件。另外,给出了一种条件,该条件确保具有既不具有稳定状态又不具有长度为2的限制周期的延迟的网络。这里获得的结果部分地扩展了具有延迟和没有延迟的离散Hopfield神经网络稳定性的一些现有结果。

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