Pseudo Almost Automorphic Solutions of Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays

In this paper, existence, uniqueness and global exponential stability of pseudo almost automorphic solutions for a class of recurrent neural networks with time-varying coefficients and mixed delays are established by employing the fixed point theorem and differential inequality. Numerical example wi...

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Bibliographic Details
Published in:	Neural processing letters Vol. 45; no. 1; pp. 121 - 140
Main Authors:	Aouiti, Chaouki, M’hamdi, Mohammed Salah, Touati, Abderrahmane
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2017 Springer Nature B.V
Subjects:	Artificial Intelligence Banach spaces Complex Systems Computational Intelligence Computer Science Fixed points (mathematics) Neural networks Neurons Ordinary differential equations Recurrent neural networks 34C27 Global exponential stability Recurrent neural networks 92C20 Pseudo almost automorphic solution Mixed delays 37B25
ISSN:	1370-4621, 1573-773X
Online Access:	Get full text
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