A class of stochastic Hopfield neural networks with expectations in coefficients

作者：Hu Yangzi^*

来源：Neurocomputing, 2014, 141: 188-193.

DOI：10.1016/j.neucom.2014.03.021

• Stochastic Hopfield neural network
• Time-varying delay
• Exponential stability
• Expectation

This paper considers a class of stochastic Hopfield type neural networks with time-varying delays. Based on the architecture of neural networks, expectations are introduced into coefficients of the model we considered. By applying the M-matrix technique, the mean square exponential stability is studied. An example is provided to illustrate the effectiveness of our results. 2014 Elsevier B.V.

• 出版日期2014-10-2
• 单位华中科技大学