By using Mawhins's continuation theorem of coincidence degree theory and constructing some suitable Lyapunov functions, the periodicity and the exponential stability for a class of bidirectional associative memory (BAM) high-order Hopfield neural networks with impulses and delays on time scales are investigated. An example illustrates our results.
Submitted November 9, 2011. Published March 14, 2012.
Math Subject Classifications: 34K13, 34K20, 92B20.
Key Words: Bidirectional associative memory; impulses and delays; high-order Hopfield neural networks; existence and stability; time scales.
Show me the PDF file (295 KB), TEX file, and other files for this article.
| Wengui Yang |
Ministry of Public Education, Sanmenxia Polytechnic
Sanmenxia 472000, China
Return to the EJDE web page