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Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN).

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Title: Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN).
Authors: Park, Jong Yil1, jip111@seoultech.ac.kr, Yoon, Young Geun2, y_young_geun@naver.com, Oh, Tae Keun2,3, y_young_geun@naver.com
Source: Applied Sciences (2076-3417); Oct2019, Vol. 9 Issue 19, p4053, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 139414746
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PubType: Academic Journal
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  Data: Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN).
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  Data: <searchLink fieldCode="AU" term="%22Park%2C+Jong+Yil%22">Park, Jong Yil</searchLink><relatesTo>1</relatesTo>, <i>jip111@seoultech.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Yoon%2C+Young+Geun%22">Yoon, Young Geun</searchLink><relatesTo>2</relatesTo>, <i>y_young_geun@naver.com</i><br /><searchLink fieldCode="AU" term="%22Oh%2C+Tae+Keun%22">Oh, Tae Keun</searchLink><relatesTo>2,3</relatesTo>, <i>y_young_geun@naver.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Oct2019, Vol. 9 Issue 19, p4053, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=139414746
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app9194053
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 4053
    Titles:
      – TitleFull: Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN).
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            NameFull: Park, Jong Yil
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            NameFull: Yoon, Young Geun
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            NameFull: Oh, Tae Keun
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            – D: 01
              M: 10
              Text: Oct2019
              Type: published
              Y: 2019
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              Value: 20763417
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              Value: 9
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              Value: 19
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            – TitleFull: Applied Sciences (2076-3417)
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