Almost periodic solution for multidirectional associative memory neural network with distributed delays
Tiejun Zhou,
Min Wang and
Chen Li
Mathematics and Computers in Simulation (MATCOM), 2015, vol. 107, issue C, 52-60
Abstract:
This paper proposes a mathematical model of multidirectional associative memory (MAM) neural network with almost periodic coefficients and continuously distributed delays. By using exponential dichotomy and spectral radius, a sufficient condition for the existence and the global exponential stability of an almost periodic solution is obtained. Two examples are given to illustrate the effectiveness of our results.
Keywords: Multidirectional associative memory neural networks; Almost periodic solution; Global exponential stability; Exponential dichotomy; Spectral radius (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475414001931
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:107:y:2015:i:c:p:52-60
DOI: 10.1016/j.matcom.2014.06.004
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().