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An improved LSSVM discrimination model based on factor analysis and moth flame optimization algorithm for identifying water inrush sources across multiple aquifers in mines.

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Title: An improved LSSVM discrimination model based on factor analysis and moth flame optimization algorithm for identifying water inrush sources across multiple aquifers in mines.
Authors: Bi, Yaoshan1, Shen, Shuhao2, shuhao2013@126.com, Wu, Jiwen3
Source: Environmental Earth Sciences; 7/15/2024, Vol. 83 Issue 14, p1-22, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178969519
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PubType: Academic Journal
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  Data: An improved LSSVM discrimination model based on factor analysis and moth flame optimization algorithm for identifying water inrush sources across multiple aquifers in mines.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>; 7/15/2024, Vol. 83 Issue 14, p1-22, 22p
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      – Type: doi
        Value: 10.1007/s12665-024-11736-6
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: An improved LSSVM discrimination model based on factor analysis and moth flame optimization algorithm for identifying water inrush sources across multiple aquifers in mines.
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            NameFull: Bi, Yaoshan
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            NameFull: Shen, Shuhao
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            NameFull: Wu, Jiwen
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            – D: 15
              M: 07
              Text: 7/15/2024
              Type: published
              Y: 2024
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              Value: 83
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              Value: 14
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            – TitleFull: Environmental Earth Sciences
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