Effect of Leakage Delay on Hopf Bifurcation in a Fractional BAM Neural Network

DOI10.1142/S0218127419500779zbMath1423.34090arXiv1812.00754OpenAlexW3106127649MaRDI QIDQ5225789

Liangchen Li, Jiazhe Lin, Rui Xu

Publication date: 23 July 2019

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.00754

zbMATH Keywords

sensitivity analysisHopf bifurcationfractional derivativeleakage delayBAM neural network

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Periodic solutions to functional-differential equations (34K13) Bifurcation theory of functional-differential equations (34K18) Functional-differential equations with fractional derivatives (34K37)

Related Items (6)

A novel IVGTT model including interstitial insulin ⋮ Spatiotemporal dynamics on a class of \((n+1)\)-dimensional reaction-diffusion neural networks with discrete delays and a conical structure ⋮ Global stability criteria for nonlinear differential systems with infinite delay and applications to BAM neural networks ⋮ Novel LMI-based adaptive boundary synchronisation of fractional-order fuzzy reaction–diffusion BAM neural networks with leakage delay ⋮ Bifurcations in a fractional-order neural network with multiple leakage delays ⋮ HOPF BIFURCATION OF A FRACTIONAL TRI-NEURON NETWORK WITH DIFFERENT ORDERS AND LEAKAGE DELAY

Cites Work

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• Impact of leakage delay on bifurcation in high-order fractional BAM neural networks
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