Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays

In this paper, we consider a class of Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays whose coefficients are Clifford numbers except the time delays. Based on the Banach fixed point theorem and inequality techniques, we obtain the existence and global exponent...

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Main Authors: Nina Huo, Bing Li, Yongkun Li
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2022202?viewType=HTML
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author Nina Huo
Bing Li
Yongkun Li
author_facet Nina Huo
Bing Li
Yongkun Li
author_sort Nina Huo
collection DOAJ
description In this paper, we consider a class of Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays whose coefficients are Clifford numbers except the time delays. Based on the Banach fixed point theorem and inequality techniques, we obtain the existence and global exponential stability of almost periodic solutions in distribution of this class of neural networks. Even if the considered neural networks degenerate into real-valued, complex-valued and quaternion-valued ones, our results are new. Finally, we use a numerical example and its computer simulation to illustrate the validity and feasibility of our theoretical results.
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spelling doaj.art-e6a70ff6ce2c46339bef3186732cf6bc2022-12-22T04:12:46ZengAIMS PressAIMS Mathematics2473-69882022-01-01733653367910.3934/math.2022202Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delaysNina Huo0Bing Li1Yongkun Li21. Key Laboratory of Applied Mathematics and Mechanism of Artificial Intelligence, Hefei University, Hefei, Anhui 230601, China2. School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan 650500, China3. School of Mathematics and Statistics, Yunnan University, Kunming, Yunnan 650091, ChinaIn this paper, we consider a class of Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays whose coefficients are Clifford numbers except the time delays. Based on the Banach fixed point theorem and inequality techniques, we obtain the existence and global exponential stability of almost periodic solutions in distribution of this class of neural networks. Even if the considered neural networks degenerate into real-valued, complex-valued and quaternion-valued ones, our results are new. Finally, we use a numerical example and its computer simulation to illustrate the validity and feasibility of our theoretical results.https://www.aimspress.com/article/doi/10.3934/math.2022202?viewType=HTMLclifford-valued neural networkstochastic neural networkhigh-order hopfield neural networkalmost periodic solution in distributionglobal exponential stability
spellingShingle Nina Huo
Bing Li
Yongkun Li
Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays
AIMS Mathematics
clifford-valued neural network
stochastic neural network
high-order hopfield neural network
almost periodic solution in distribution
global exponential stability
title Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays
title_full Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays
title_fullStr Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays
title_full_unstemmed Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays
title_short Global exponential stability and existence of almost periodic solutions in distribution for Clifford-valued stochastic high-order Hopfield neural networks with time-varying delays
title_sort global exponential stability and existence of almost periodic solutions in distribution for clifford valued stochastic high order hopfield neural networks with time varying delays
topic clifford-valued neural network
stochastic neural network
high-order hopfield neural network
almost periodic solution in distribution
global exponential stability
url https://www.aimspress.com/article/doi/10.3934/math.2022202?viewType=HTML
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AT yongkunli globalexponentialstabilityandexistenceofalmostperiodicsolutionsindistributionforcliffordvaluedstochastichighorderhopfieldneuralnetworkswithtimevaryingdelays