Stability and Exponential Synchronization of High-Order Hopfield Neural Networks with Mixed Delays-Reference-Cited by-同舟云学术

Stability and Exponential Synchronization of High-Order Hopfield Neural Networks with Mixed Delays

Published:2016-12-23 Issue:1 Volume:48 Page:49-69
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Brahmi Hajer¹,Ammar Boudour¹,Chérif Farouk²,Alimi Adel M.¹

Affiliation:

1. Research Group on Intelligent Machines, Department of Electrical and Computer Engineering, National Engineering School of Sfax (ENIS), University of Sfax, Sfax, Tunsia

2. ISSATS, Laboratory of Math Physics; Specials Functions and Applications, Ecole Superieure des Sciences et de Technologie, University of Sousse, Sousse, Tunsia

Funder

The authors would like to acknowledge the financial support for this work by grants from the General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program.

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2016.1262709

Reference29 articles.

1. Numerical exterior algebra and the compound matrix method

2. Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays

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