Synchronization robustness analysis of memristive-based neural networks with deviating arguments and stochastic perturbations.
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| Title: | Synchronization robustness analysis of memristive-based neural networks with deviating arguments and stochastic perturbations. |
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| Authors: | Tao Xie1 Xt0216@hbnu.edu.cn, Xing Xiong1, Qike Zhang1 |
| Source: | AIMS Mathematics. 2024, Vol. 9 Issue 1, p918-941. 24p. |
| Database: | Mathematics Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 174776381 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Synchronization robustness analysis of memristive-based neural networks with deviating arguments and stochastic perturbations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tao+Xie%22">Tao Xie</searchLink><relatesTo>1</relatesTo><i> Xt0216@hbnu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Xing+Xiong%22">Xing Xiong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Qike+Zhang%22">Qike Zhang</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22AIMS+Mathematics%22">AIMS Mathematics</searchLink>. 2024, Vol. 9 Issue 1, p918-941. 24p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=174776381 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3934/math.2024046 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 918 Titles: – TitleFull: Synchronization robustness analysis of memristive-based neural networks with deviating arguments and stochastic perturbations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tao Xie – PersonEntity: Name: NameFull: Xing Xiong – PersonEntity: Name: NameFull: Qike Zhang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 24736988 Numbering: – Type: volume Value: 9 – Type: issue Value: 1 Titles: – TitleFull: AIMS Mathematics Type: main |
| ResultId | 1 |