DocumentCode :
1569799
Title :
Global robust stability of bidirectional associative memory neural networks
Author :
Senan, Sibel ; Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution :
Dept. of Comput. Eng., Istanbul Univ., Istanbul
fYear :
2007
Firstpage :
803
Lastpage :
806
Abstract :
This paper presents a sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with discrete time delays. Some numerical examples are given to compare our results with the previous robust stability results derived in the literature.
Keywords :
asymptotic stability; delays; discrete time systems; neural nets; bidirectional associative memory neural networks; discrete time delays; global robust asymptotic stability; Associative memory; Asymptotic stability; Computer networks; Delay effects; Hydrogen; Magnesium compounds; Neural networks; Neurons; Robust stability; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit Theory and Design, 2007. ECCTD 2007. 18th European Conference on
Conference_Location :
Seville
Print_ISBN :
978-1-4244-1341-6
Electronic_ISBN :
978-1-4244-1342-3
Type :
conf
DOI :
10.1109/ECCTD.2007.4529718
Filename :
4529718
Link To Document :
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