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
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