Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach-Reference-Cited by-同舟云学术

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Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach

Published:2020-04 Issue: Volume:124 Page:50-59
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Yu Juan,Hu Cheng^ORCID,Jiang Haijun,Wang Leimin^ORCID

Funder

National Natural Science Foundation of China

Tianshan Youth Program, China

Natural Science Foundation of Xinjiang, China

Innovation Team Program of Universities in Xinjiang Uyghur Autonomous Region, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference66 articles.

1. New results on exponential synchronization of memristor-based neural networks with discontinuous neuron activations;Abdurahman;Neural Networks,2016

2. Nonlinear output control scheme for general decay synchronization of delayed neural networks with inertial term;Abdurahman;International Journal of Robust and Nonlinear Control,2019

3. Chaotic neural networks;Aihara;Physics Letters. A,1990

4. Multiple-valued logic and complex-valued neural networks;Aizenberg;Studies in Fuzziness and Soft Computing,2017

5. Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication;Alimi;Neurocomputing,2019

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3. Memory synchronisation of delayed neural networks via variable sampling control;International Journal of Systems Science;2024-07

4. Quasi-synchronisation of conformable fractional-order complex dynamical networks with mixed delays;International Journal of Systems Science;2024-06-10

5. Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks;Chaos, Solitons & Fractals;2024-05

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