Bifurcation Mechanism for Fractional-Order Three-Triangle Multi-delayed Neural Networks

• Published in: Neural processing letters Vol. 55; no. 5; pp. 6125 - 6151
• Main Authors: Xu, Changjin, Liu, Zixin, Li, Peiluan, Yan, Jinling, Yao, Lingyun
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2023; Springer Nature B.V
• Subjects: Artificial Intelligence; Calculus; Complex Systems; Computational Intelligence; Computer Science; Dynamical systems; Eigenvalues; Eigenvectors; Equilibrium; Hopf bifurcation; Investigations; Neural networks; Neurons; Stability; Time lag; Bifurcation diagram; Stability; Hopf bifurcation; Fractional-order three-triangle neural networks; Delay
• ISSN: 1370-4621; 1573-773X
• DOI: 10.1007/s11063-022-11130-y

This article is basically concerned with the stability and Hopf bifurcation problem of fractional-order three-triangle multi-delayed neural networks. Based on laplace transform, we obtain the characteristic equation of the considered fractional-order three-triangle multi-delayed neural networks. By...