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A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression.

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Title: A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression.
Authors: Ma, Junwei1,2 (AUTHOR) majw@cug.edu.cn, Wang, Yankun3 (AUTHOR), Niu, Xiaoxu2 (AUTHOR), Jiang, Sheng2 (AUTHOR), Liu, Zhiyang2 (AUTHOR)
Source: Stochastic Environmental Research & Risk Assessment. Oct2022, Vol. 36 Issue 10, p3109-3129. 21p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 159500605
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  Data: A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression.
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Junwei%22">Ma, Junwei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> majw@cug.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yankun%22">Wang, Yankun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Niu%2C+Xiaoxu%22">Niu, Xiaoxu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Sheng%22">Jiang, Sheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhiyang%22">Liu, Zhiyang</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Stochastic+Environmental+Research+%26+Risk+Assessment%22">Stochastic Environmental Research & Risk Assessment</searchLink>. Oct2022, Vol. 36 Issue 10, p3109-3129. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=159500605
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        Value: 10.1007/s00477-022-02183-5
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 3109
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      – TitleFull: A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression.
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            NameFull: Ma, Junwei
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            NameFull: Wang, Yankun
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            NameFull: Niu, Xiaoxu
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            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 36
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            – TitleFull: Stochastic Environmental Research & Risk Assessment
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