Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delays

In this paper, we propose a class of octonion-valued neural networks with leakage delays and mixed delays. Considering that the multiplication of octonion algebras does not satisfy the associativity and commutativity, we can obtain the existence and global exponential stability of weighted pseudo al...

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Main Authors: Jin Gao, Lihua Dai
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023760?viewType=HTML
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author Jin Gao
Lihua Dai
author_facet Jin Gao
Lihua Dai
author_sort Jin Gao
collection DOAJ
description In this paper, we propose a class of octonion-valued neural networks with leakage delays and mixed delays. Considering that the multiplication of octonion algebras does not satisfy the associativity and commutativity, we can obtain the existence and global exponential stability of weighted pseudo almost periodic solutions for octonion-valued neural networks with leakage delays and mixed delays by using the Banach fixed point theorem, the proof by contradiction and the non-decomposition method. Finally, we will give one example to illustrate the feasibility and effectiveness of the main results.
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spelling doaj.art-8af365fa5aa04f1a964703de0efff7162023-04-28T01:41:07ZengAIMS PressAIMS Mathematics2473-69882023-04-0186148671489310.3934/math.2023760Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delaysJin Gao 0Lihua Dai11. School of Information, Yunnan Communications Vocational and Technical College, Kunming, Yunnan 650500, China2. School of Mathematics and Statistics, Southwest University, Chongqing 400715, ChinaIn this paper, we propose a class of octonion-valued neural networks with leakage delays and mixed delays. Considering that the multiplication of octonion algebras does not satisfy the associativity and commutativity, we can obtain the existence and global exponential stability of weighted pseudo almost periodic solutions for octonion-valued neural networks with leakage delays and mixed delays by using the Banach fixed point theorem, the proof by contradiction and the non-decomposition method. Finally, we will give one example to illustrate the feasibility and effectiveness of the main results.https://www.aimspress.com/article/doi/10.3934/math.2023760?viewType=HTMLoctonion algebraneural networksstabilityweighted pseudo almost periodic solutionsdelays
spellingShingle Jin Gao
Lihua Dai
Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delays
AIMS Mathematics
octonion algebra
neural networks
stability
weighted pseudo almost periodic solutions
delays
title Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delays
title_full Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delays
title_fullStr Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delays
title_full_unstemmed Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delays
title_short Weighted pseudo almost periodic solutions of octonion-valued neural networks with mixed time-varying delays and leakage delays
title_sort weighted pseudo almost periodic solutions of octonion valued neural networks with mixed time varying delays and leakage delays
topic octonion algebra
neural networks
stability
weighted pseudo almost periodic solutions
delays
url https://www.aimspress.com/article/doi/10.3934/math.2023760?viewType=HTML
work_keys_str_mv AT jingao weightedpseudoalmostperiodicsolutionsofoctonionvaluedneuralnetworkswithmixedtimevaryingdelaysandleakagedelays
AT lihuadai weightedpseudoalmostperiodicsolutionsofoctonionvaluedneuralnetworkswithmixedtimevaryingdelaysandleakagedelays