Exploration on bifurcation for an incommensurate five-neuron fractional-order BAM neural network involving multiple delays-Reference-Cited by-同舟云学术

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Exploration on bifurcation for an incommensurate five-neuron fractional-order BAM neural network involving multiple delays

Published:2024-04 Issue: Volume:460 Page:134047
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Zhang Yanxia,Li Long,Huang Junjian,Gorbachev Sergey,Aravind R. Vijay

Publisher

Elsevier BV

Reference45 articles.

1. Artificial Neural Networks for Engineering Applications;Alanis,2019

2. Artificial Neural Networks for Engineering Applications;Elsheikh,2022

3. Pattern Recognition and Neural Networks;Ripley,1996

4. Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays;Cao;Neural Netw.,2004

5. Synchronization and synchronized periodic solution in a simplified five-neuron BAM neural network with delays;Ge;Neurocomputing,2011

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extractions of bifurcation in fractional-order recurrent neural networks under neurons arbitrariness;Physica D: Nonlinear Phenomena;2024-11

2. The Well-Posedness of Incommensurate FDEs in the Space of Continuous Functions;Symmetry;2024-08-16

3. Hopf bifurcations in a fractional-order neural network introducing delays into neutral terms;The European Physical Journal Plus;2024-08-10

4. Delay-dependent bifurcation conditions in a fractional-order inertial BAM neural network;Chaos, Solitons & Fractals;2024-08

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