Shunting inhibitory cellular neural networks with strongly unpredictable oscillations

Date

2020-10-01

Author

Akhmet, Marat
Tleubergenova, Madina
Zhamanshin, Akylbek

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The paper considers a new type of solutions for shunting inhibitory cellular neural networks (SICNNs), strongly unpredictable oscillations. The conditions for the existence, uniqueness and stability of the solutions are determined. Numerical examples are given to show the feasibility of the obtained results.

Subject Keywords

Modelling and Simulation, Applied Mathematics, Numerical Analysis

URI

https://hdl.handle.net/11511/48918

Journal

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION

DOI

https://doi.org/10.1016/j.cnsns.2020.105287

Collections

Department of Mathematics, Article

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Citation Formats

M. Akhmet, M. Tleubergenova, and A. Zhamanshin, “Shunting inhibitory cellular neural networks with strongly unpredictable oscillations,” COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48918.