General decay stability of split-step θ method for stochastic delay Hopfield neural networks
QIN Guodong
LIU Kai
FANG Jianyin
Abstract：This paper investigates the general decay stability of split-step θ(SST)method for sto-chastic delay Hopfield neural networks.For θ∈[0,1/2),it is proven that the SST method exhibits general decay stability with some restrictive conditions on the step size.For θ∈[1/2,1],the SST method can replicate the general decay stability unconditionally.Finally,a numerical example is pres-ented to validate the effectiveness of the proposed approach.
Keywords：general decay stabilitystochastic delay Hopfield neural networkssplit-step θ method
Publication Date：2024-04-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 6-11 )