A perspective on graph theory-based stability analysis of impulsive stochastic recurrent neural networks with time-varying delays

Abstract In this work, the exponential stability problem of impulsive recurrent neural networks is investigated; discrete time delay, continuously distributed delay and stochastic noise are simultaneously taken into consideration. In order to guarantee the exponential stability of our considered rec...

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Bibliographic Details

Published in:	Advances in Difference Equations
Main Authors:	M. Iswarya, R. Raja, G. Rajchakit, J. Cao, J. Alzabut, C. Huang
Format:	Article
Language:	English
Published:	SpringerOpen 2019-12-01
Subjects:	Recurrent neural networks (RNNs) Exponential stability Graph theory Young’s inequality Discrete time-varying delays Infinite distributed time-varying delays
Online Access:	https://doi.org/10.1186/s13662-019-2443-3