首页> 外文会议>International Symposium on Neural Networks >On Stochastic Neutral Neural Networks
【24h】

On Stochastic Neutral Neural Networks

机译:在随机中立神经网络上

获取原文

摘要

A new type of neutral neural network (NNN) model is established and the corresponding stability analysis is studied in this paper. By introducing the neutral term into the classical neural network model, the inspiration and associate memory phenomenon can be well described and explained. The stochastic Hopfield NNN model (HNNN) is investigated, respectively. Some criteria for mean square exponential stability and asymptotic stable are provided.
机译:建立了一种新型中性神经网络(NNN)模型,本文研究了相应的稳定性分析。通过将中性术语引入经典神经网络模型中,可以很好地描述和解​​释灵感和助理记忆现象。分别研究了随机Hopfield NNN模型(HNNN)。提供了均方指数稳定性和渐近稳定的一些标准。

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