首页> 外文期刊>IEEE Transactions on Circuits and Systems. I, Regular Papers >An estimation of upperbound of delays for global asymptoticstability of delayed Hopfield neural networks
【24h】

An estimation of upperbound of delays for global asymptoticstability of delayed Hopfield neural networks

机译:时滞Hopfield神经网络的全局渐近稳定性的时滞上限估计

获取原文
获取原文并翻译 | 示例

摘要

This paper provides an upperbound of delays for the global asymptotic stability of the equilibrium of Hopfield neural networks with transmission delays. Such a bound has important significance in both theory and application for the design of the globally stable networks. An example is also given to illustrate that the conditions of our result are feasible
机译:本文为具有传播时滞的Hopfield神经网络平衡点的全局渐近稳定性提供了时滞的上限。这样的界限对于全球稳定网络的设计在理论和应用上都具有重要意义。还给出了一个例子来说明我们的结果的条件是可行的

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号