Mean square stability of two classes of theta methods for numerical computation and simulation of delayed stochastic Hopfield neural networks
type: Item
instance of: scholarly article
title: Mean square stability of two classes of theta methods for numerical computation and simulation of delayed stochastic Hopfield neural networks
author: Linna Liu
author: Quanxin Zhu
author: Feiqi Deng
published in: Journal of Computational and Applied Mathematics
publication date: 2018-06-20T00:00:00Z
Mathematics Subject Classification ID: 65C30
Mathematics Subject Classification ID: 60H10
Mathematics Subject Classification ID: 65L20
Mathematics Subject Classification ID: 60H35
Mathematics Subject Classification ID: 34K50
zbMATH DE Number: 6892280
zbMATH Keywords: Hopfield neural network
zbMATH Keywords: stochastic differential equation
zbMATH Keywords: time delay
zbMATH Keywords: split-step theta method
zbMATH Keywords: stochastic linear theta method
zbMATH Keywords: mean square stability
MaRDI profile type: Publication
full work available at URL: j.cam.2018.04.018
OpenAlex ID: W2805471816
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DOI: 10.1016/J.CAM.2018.04.018
description: scientific article; zbMATH DE number 6892280