Further results on stability and synchronization of fractional-order Hopfield neural networks-Reference-Cited by-同舟云学术

Further results on stability and synchronization of fractional-order Hopfield neural networks

Published:2019-06 Issue: Volume:346 Page:12-19
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Fengxian^ORCID,Liu Xinge,Tang Meilan,Chen Lifang

Funder

NSFC

Central South University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. The Analysis of Fractional Differential Equations;Diethelm,2010

2. A survey of fractional-order neural networks;Zhang,2017

3. Global Mittag–Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition;Zhang;Neural Netw.,2017

4. Fractional-order memristor-based Chua’s circuit;Petras;IEEE Trans. Circuits Syst. II,2010

5. Exponential synchronization of neural networks with time-varying delays via dynamic intermittent output feedback control;Zhang;IEEE Trans. Syst. Man Cybern. Syst.,2017

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