基于 ZYNQ 的高效卷积神经网络加速器设计.
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| Title: | 基于 ZYNQ 的高效卷积神经网络加速器设计. |
|---|---|
| Alternate Title: | Design of an Efficient Convolutional Neural Network Accelerator Based on ZYNQ. |
| Authors: | 龚贵川1, 谢良波1 xielb@cqupt.edu.cn, 黄 倩1, 周 牧1 |
| Source: | Telecommunication Engineering. 2/28/2026, Vol. 66 Issue 2, p259-266. 8p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: 基于 ZYNQ 的高效卷积神经网络加速器设计. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Design of an Efficient Convolutional Neural Network Accelerator Based on ZYNQ. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22龚贵川%22">龚贵川</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22谢良波%22">谢良波</searchLink><relatesTo>1</relatesTo><i> xielb@cqupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22黄+倩%22">黄 倩</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22周+牧%22">周 牧</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Telecommunication+Engineering%22">Telecommunication Engineering</searchLink>. 2/28/2026, Vol. 66 Issue 2, p259-266. 8p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=191593300 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.20079/j.issn.1001-893x.241009004 Languages: – Code: chi Text: Chinese PhysicalDescription: Pagination: PageCount: 8 StartPage: 259 Titles: – TitleFull: 基于 ZYNQ 的高效卷积神经网络加速器设计. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: 龚贵川 – PersonEntity: Name: NameFull: 谢良波 – PersonEntity: Name: NameFull: 黄 倩 – PersonEntity: Name: NameFull: 周 牧 IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 02 Text: 2/28/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1001893X Numbering: – Type: volume Value: 66 – Type: issue Value: 2 Titles: – TitleFull: Telecommunication Engineering Type: main |
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