EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:matcom:v:107:y:2015:i:c:p:52-60