Mean-Square Stability Analysis of Fractional-Order Time-Delayed Neural Networks Driven by Fractional Brownian Motion

Fractal and Fractional 2026 Open access

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Authors: Yajuan Gu, Hu Wang, Yongguang Yu
DOI: 10.3390/fractalfract10030140
Cited by: 2
References: 52

Abstract

This paper mainly investigates the stability of fractional-order time-delayed neural networks (FOTDNNs) driven by fractional Brownian motion. In particular, it examines the mean-square uniform stability of FOTDNNs with the Hurst parameters 12

Fields of Study & Subjects

Neural Networks Stability and Synchronization stochastic dynamics and bifurcation Neural Networks and Applications

Publication details

Journal / source
Fractal and Fractional
Publisher
MDPI AG
Volume
10
Issue
3
Pages
140–140
Publication date
25 February 2026
Language
EN