Extractions of bifurcation in fractional-order recurrent neural networks under neurons arbitrariness-Reference-Cited by-同舟云学术

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Extractions of bifurcation in fractional-order recurrent neural networks under neurons arbitrariness

Published:2024-11 Issue: Volume:468 Page:134279
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Huang Chengdai^ORCID,Fu Lei,Wang Huanan,Cao Jinde,Liu Heng

Publisher

Elsevier BV

Reference49 articles.

1. Some applications of fractional order calculus to design digital filters for biomedical signal processing;Ferdi;J. Mech. Med. Biol.,2012

2. Dynamical behaviors of fractional-order Lotka–Volterra predator–prey model and its discretization;Elsadany;J. Appl. Math. Comput.,2015

3. A space–time spectral order sinc-collocation method for the fourth-order nonlocal heat model arising in viscoelasticity;Yang;Appl. Math. Comput.,2023

4. CN ADI fast algorithm on non-uniform meshes for the three-dimensional nonlocal evolution equation with multi-memory kernels in viscoelastic dynamics;Zhou;Appl. Math. Comput.,2024

5. On conservative, positivity preserving, nonlinear FV scheme on distorted meshes for the multi-term nonlocal Nagumo-type equations;Yang;Appl. Math. Lett.,2024

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