Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods.
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| Title: | Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods. |
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| Authors: | Lin, Chuan1, linchuan@fzu.edu.cn, Zou, Yun1, Lai, Xiaohe1, laixiaohe@fzu.edu.cn, Wang, Xiangyu1, Su, Yan1 |
| Source: | Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 19, p10827, 24p |
| 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: 172984889 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lin%2C+Chuan%22">Lin, Chuan</searchLink><relatesTo>1</relatesTo>, <i>linchuan@fzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zou%2C+Yun%22">Zou, Yun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lai%2C+Xiaohe%22">Lai, Xiaohe</searchLink><relatesTo>1</relatesTo>, <i>laixiaohe@fzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Xiangyu%22">Wang, Xiangyu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Su%2C+Yan%22">Su, Yan</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Oct2023, Vol. 13 Issue 19, p10827, 24p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=172984889 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app131910827 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 10827 Titles: – TitleFull: Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin, Chuan – PersonEntity: Name: NameFull: Zou, Yun – PersonEntity: Name: NameFull: Lai, Xiaohe – PersonEntity: Name: NameFull: Wang, Xiangyu – PersonEntity: Name: NameFull: Su, Yan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 13 – Type: issue Value: 19 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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