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Bifurcations due to different delays of high-order fractional neural networks.
- Source :
-
International Journal of Biomathematics . Feb2022, Vol. 15 Issue 2, p1-19. 19p. - Publication Year :
- 2022
-
Abstract
- This paper expounds the bifurcations of two-delayed fractional-order neural networks (FONNs) with multiple neurons. Leakage delay or communication delay is viewed as a bifurcation parameter, stability zones and bifurcation conditions with respect to them are commendably established, respectively. It declares that both leakage delay and communication delay immensely influence the stability and bifurcation of the developed FONNs. The explored FONNs illustrate superior stability performance if selecting a lesser leakage delay or communication delay, and Hopf bifurcation generates once they overstep their critical values. The verification of the feasibility of the developed analytic results is implemented via numerical experiments. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HOPF bifurcations
*LEAKAGE
Subjects
Details
- Language :
- English
- ISSN :
- 17935245
- Volume :
- 15
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Biomathematics
- Publication Type :
- Academic Journal
- Accession number :
- 155344501
- Full Text :
- https://doi.org/10.1142/S1793524521500753