Short communication: Part contour error prediction based on LSTM neural network.
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| Title: | Short communication: Part contour error prediction based on LSTM neural network. |
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| Authors: | Zhang, Yun1,2, zhangyun@tsinghua.edu.cn, Liang, Guangshun1, Cao, Cong3, Li, Yan2 |
| Source: | Mechanical Sciences; 2023, Vol. 14 Issue 1, p15-18, 4p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 164804660 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Short communication: Part contour error prediction based on LSTM neural network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Yun%22">Zhang, Yun</searchLink><relatesTo>1,2</relatesTo>, <i>zhangyun@tsinghua.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liang%2C+Guangshun%22">Liang, Guangshun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Cao%2C+Cong%22">Cao, Cong</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Yan%22">Li, Yan</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Mechanical+Sciences%22">Mechanical Sciences</searchLink>; 2023, Vol. 14 Issue 1, p15-18, 4p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164804660 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/ms-14-15-2023 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 15 Titles: – TitleFull: Short communication: Part contour error prediction based on LSTM neural network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Yun – PersonEntity: Name: NameFull: Liang, Guangshun – PersonEntity: Name: NameFull: Cao, Cong – PersonEntity: Name: NameFull: Li, Yan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 21919151 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Mechanical Sciences Type: main |
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