DocumentCode :
537223
Title :
Globally Stability of DCNNS with Variable Coefficients and Distribution
Author :
Yuan, Jianhui ; Qian, Yuan
Author_Institution :
Sch. of Manage. & Eng., Nanjing Univ., Nanjing, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
4
Abstract :
In this Letter, we discuss delayed Hopfield neural networks of variable coefficients and distribution, based on globally Lipchitz continuous activation functions, the equilibrium point and the Lyapunov functional method. Sufficient conditions ensuring Globally Asymptotical Stability of neural networks are given.
Keywords :
Hopfield neural nets; Lyapunov methods; asymptotic stability; cellular neural nets; delays; transfer functions; Hopfield neural network; Lipchitz continuous activation function; Lyapunov functional method; asymptotical stability; cellular neutral network; equilibrium point; global stability; variable coefficient; variable distribution; Artificial neural networks; Asymptotic stability; Circuit stability; Differential equations; Integrated circuit modeling; Stability criteria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5661173
Filename :
5661173
Link To Document :
بازگشت