DocumentCode :
1798266
Title :
On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay
Author :
Brahmi, Hajer ; Ammar, Boudour ; Cherif, Farouk ; Alimi, Adel M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Sfax, Sfax, Tunisia
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
2063
Lastpage :
2070
Abstract :
This paper discuss the oscillations of high-Order type recurrent delayed neural networks. Various creteria are used to prove the existence and uniqueness of pseudo almost periodic solution in a suitable convex domain. Our method is based on constructing suitable Lyapunov functionals and the well-known Banach contraction mapping principle. Banach fixed point, pseudo almost-periodic functions, high order recurrent neural network.
Keywords :
Banach spaces; Lyapunov methods; delays; recurrent neural nets; set theory; Banach contraction mapping principle; Banach fixed point; Lyapunov functionals; convex domain; high-order recurrent delayed neural network type; mixed delay; pseudo almost-periodic functions; time varying coefficients; Biological neural networks; Convergence; Delays; Educational institutions; Recurrent neural networks; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
Type :
conf
DOI :
10.1109/IJCNN.2014.6889868
Filename :
6889868
Link To Document :
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