Stability of Hopfield neural networks with time delays and variable-time impulses Academic Article

abstract

• The stability of Hopfield neural networks with fixed-time impulses has been intensively investigated in recent years. However, few existing publications addressed the stability of delayed neural networks with variable-time impulses. In this paper, we consider the case of variable-time impulses and attempt to establish the general stability criteria. It shows that the proposed results can also be applied to the case of fixed-time impulses, which provide a new stability condition for the case of fixed-time impulses. To illustrate the effectiveness of our theoretical results, numerical examples and simulations are also presented. 2011 Springer-Verlag London Limited.

authors

• Huang, Tingwen

published proceedings

• NEURAL COMPUTING & APPLICATIONS

author list (cited authors)

• Liu, C., Li, C., Huang, T., & Li, C.

citation count

• 13

complete list of authors

• Liu, Chao||Li, Chuandong||Huang, Tingwen||Li, Chaojie

publication date

• January 2013

publisher

• Springer Nature  Publisher

published in

• Neural Computing and Applications  Journal

keywords

• Hopfield Neural Network (hnn)
• STABILITY
• Time Delays
• Variable-time Impulse

Digital Object Identifier (DOI)

• 10.1007/s00521-011-0695-2

start page

• 195

end page

• 202

volume

• 22

issue

• 1

URL

• http://dx.doi.org/10.1007/s00521-011-0695-2