Name
Title | ||
|---|---|---|
On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IJCNN.2014.6889868 | Neural Networks |
Keywords | Field | DocType |
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 | Applied mathematics,Mathematical analysis,Recurrent neural network,Order type,Artificial intelligence,Fixed point,Artificial neural network,Uniqueness,Contraction mapping,Pattern recognition,Regular polygon,Periodic graph (geometry),Mathematics | Conference |
ISSN | Citations | PageRank |
2161-4393 | 3 | 0.38 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hajer Brahmi | 1 | 3 | 0.38 |
| Boudour Ammar | 2 | 3 | 0.38 |
| Farouk Chérif | 3 | 3 | 0.38 |
| Adel M. Alimi | 4 | 81 | 8.88 |