Výsledky vyhledávání - "Wangdong Jiang"

Akademický článek

The stability of anti-periodic solutions for fractional-order inertial BAM neural networks with time-delays

Autor: Yuehong Zhang, Zhiying Li, Wangdong Jiang, Wei Liu

Publikováno v: AIMS Mathematics, Vol 8, Iss 3, Pp 6176-6190 (2023)

The dynamic signal transmission process can be regarded as an anti-periodic process, and fractional-order inertial neural networks are widely used in signal processing and other fields, so anti-periodicity is also regarded as an important dynamic fea

Externí odkaz: https://doaj.org/article/fe61e3b54612438d9b0f91ab46e4fde0

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Akademický článek

Dynamic analysis of fractional-order neural networks with inertia

Autor: Zhiying Li, Wangdong Jiang, Yuehong Zhang

Publikováno v: AIMS Mathematics, Vol 7, Iss 9, Pp 16889-16906 (2022)

The existence and the S-asymptotic ω-periodic of the solution in fractional-order Cohen-Grossberg neural networks with inertia are studied in this paper. Based on the properties of the Riemann-Liouville (R-L) fractional-order derivative and integral

Externí odkaz: https://doaj.org/article/91c82e18306b4120a08f808ce4eea4fd

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Akademický článek

A survey of distributed denial-of-service attack, prevention, and mitigation techniques

Autor: Tasnuva Mahjabin, Yang Xiao, Guang Sun, Wangdong Jiang

Publikováno v: International Journal of Distributed Sensor Networks, Vol 13 (2017)

Distributed denial-of-service is one kind of the most highlighted and most important attacks of today’s cyberworld. With simple but extremely powerful attack mechanisms, it introduces an immense threat to current Internet community. In this article

Externí odkaz: https://doaj.org/article/0fe868ee953444d39555314c4f1f2382

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Anti-periodic Solutions Dynamics for Fractional-order Inertia Cohen-Grossberg Neural Networks

Autor: danning Xu, wangdong Jiang

The dynamic behavior of anti-periodic solutions for fractional-order inertia Cohen-Grossberg neural networks is investigated in the article. First, the fractional derivative with different orders is transformed to that with the same order by properly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbc5a17cc5fd537de38c1d6dcb08a102
https://doi.org/10.21203/rs.3.rs-2560494/v1

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Exponential Stability of Stochastic Inertial Cohen–Grossberg Neural Networks

Autor: Yuehong Zhang, Zhiying Li, Wangdong Jiang, Wei Liu

Publikováno v: International Journal of Pattern Recognition and Artificial Intelligence. 37

In this paper, we adopt two methods to study the problem. Initially, directly from the second-order differential equation, we obtain a sufficient condition (SC) for the mean square exponential stability (MSES) of the system at the equilibrium point b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca45d279bc85e49abacc671d3e4a5d53
https://doi.org/10.1142/s0218001422590327

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Global Mittag-Leffler Stability and Global Asymptotic ω-Period for Fractional-Order Cohen–Grossberg Neural Networks with Time-Varying Delays

Autor: Wangdong Jiang, Zhiying Li, Yuehong Zhang

Publikováno v: International Journal of Pattern Recognition and Artificial Intelligence. 36

The dynamic behaviors for fractional-order Cohen–Grossberg neural networks with time-varying delays (FCGNND) are studied in this paper. By introducing the Mittag-Leffler (ML) function, based on properties of fractional calculus, the differential me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b95b9f4c5309c3cc99943e68c551c053
https://doi.org/10.1142/s0218001422590236

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