DocumentCode
3025670
Title
Stability Analysis of Stochastic Fuzzy Recurrent Neural Networks with Time-Varying Delays
Author
Wan, Li ; Qinghua Zhou
Author_Institution
Dept. of Math. & Phys., Wuhan Univ. of Sci. & Eng., Wuhan, China
Volume
3
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
12
Lastpage
15
Abstract
The stability of stochastic fuzzy recurrent neural networks with time-varying delays is investigated. Without requiring the delay functions are differential, the sufficient conditions are derived to guarantee the mean square exponential stability of an equilibrium solution.
Keywords
asymptotic stability; delays; neurocontrollers; recurrent neural nets; stochastic systems; mean square exponential stability; stability analysis; stochastic fuzzy recurrent neural networks; time-varying delays; Delay; Fuzzy logic; Fuzzy neural networks; Mathematics; Neurotransmitters; Recurrent neural networks; Stability analysis; State feedback; Stochastic processes; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.115
Filename
5376494
Link To Document