DocumentCode
2157636
Title
Stability Analysis of a Class of Two-Neuron Networks with Time-Varying Delays
Author
Zhang, Ying ; Huang, Chuangxia ; He, Yigang
Volume
4
fYear
2008
fDate
27-30 May 2008
Firstpage
408
Lastpage
412
Abstract
This paper formulates and studies a model of neural network under a time-varying environment. Without assuming the smoothness, monotonicity and boundedness of the activation functions, the existence and global exponential stability of an unique equilibrium are investigated. Ourap-proach is based on the Brouwer´s fixed point theorem, Banach fixed point theorem, and Halanay-type inequality.
Keywords
Computer networks; Delay systems; Educational institutions; Helium; Mathematical model; Mathematics; Neural networks; Neurons; Signal processing; Stability analysis; Equilibrium; Exponential; Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.497
Filename
4566686
Link To Document