Asymptotical stability and synchronization of Riemann–Liouville fractional delayed neural networks

Yufeng Zhang; Jing Li; Shaotao Zhu; Hongwu Wang

doi:10.1007/s40314-022-02122-8

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Asymptotical stability and synchronization of Riemann–Liouville fractional delayed neural networks

Yufeng Zhang Jing Li Shaotao Zhu Hongwu Wang

Year: 2022 Journal: Computational and Applied Mathematics Vol: 42 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s40314-022-02122-8

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Keywords:

Synchronization (alternating current) Stability (learning theory) Mathematics Artificial neural network Control theory (sociology) Pure mathematics Topology (electrical circuits) Computer science Combinatorics Artificial intelligence Control (management)

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Neural Networks Stability and Synchronization

Physical Sciences → Computer Science → Computer Networks and Communications

stochastic dynamics and bifurcation

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Asymptotical stability and synchronization of Riemann–Liouville fractional delayed neural networks

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