The balanced split step theta approximations of stochastic neutral Hopfield neural networks with time delay and Poisson jumps
DOI10.1016/j.amc.2023.128129OpenAlexW4378449796MaRDI QIDQ6107990
A. Rathinasamy, Pichamuthu Mayavel
Publication date: 29 June 2023
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2023.128129
strong convergencePoisson jumpsstandard Wiener processalmost sure exponentially stablebalanced numerical approximationsstochastic neutral Hopfield neural networks with time delay
Martingales with discrete parameter (60G42) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Applications of stochastic analysis (to PDEs, etc.) (60H30) Stability and convergence of numerical methods for ordinary differential equations (65L20) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
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