文献类型：期刊文献

英文题名：A note on Hopfield neural network stability

作者：Zhao, Jiemin[1]

通讯作者：Zhao, Jiemin

机构：[1] College of Information Technology, Department of Applied Mathematics and Physics, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学智慧城市学院|北京联合大学基础教学部

年份：2015

卷号：42

期号：4

起止页码：332-336

外文期刊名：IAENG International Journal of Computer Science

收录：EI(收录号：20155201712490)

语种：英文

外文关键词：Asymptotic stability

摘要：Without assuming the symmetry of the connected matrix and the boundedness or monotonicity of the nonlinear activation functions, some new sufficient criterions are obtained for the asymptotic stability in the large for a class of neural networks. These criterions are applied easily and widely too.