DocumentCode
2749277
Title
Exponential stability of delayed bi-directional associative memory networks
Author
Cao, Jinde
Author_Institution
Dept. of Appl. Math., Southeast Univ., Nanjing, China
Volume
3
fYear
2000
fDate
2000
Firstpage
1730
Abstract
Some sufficient conditions are derived for the global exponential stability in delayed bi-directional associative memory (BAM) networks by constructing a suitable Lyapunov functional and the inequality 2ab⩽a 2+b2 technique. These conditions have an important leading significance in the design and applications of globally exponentially stable neural circuits for delayed BAM
Keywords
Lyapunov methods; asymptotic stability; content-addressable storage; functional equations; neural nets; Lyapunov functional; delayed bi-directional associative memory networks; exponential stability; globally exponentially stable neural circuits; sufficient conditions; Artificial neural networks; Associative memory; Bidirectional control; Circuit stability; Delay effects; Hydrogen; Magnesium compounds; Mathematics; Neural networks; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.893435
Filename
893435
Link To Document