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Predicting the maximum dry density and optimum moisture content from soil index properties using efficient soft computing techniques.

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Title: Predicting the maximum dry density and optimum moisture content from soil index properties using efficient soft computing techniques.
Authors: Ali, Hunar Farid Hama1, hunar.hamaali@uoh.edu.iq, Omer, Bashdar2, Mohammed, Ahmed Salih3, ahmed.mohammed@univsul.edu.iq, Faraj, Rabar H.1
Source: Neural Computing & Applications; Jul2024, Vol. 36 Issue 19, p11339-11369, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178065255
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PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00521-024-09734-7
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      – Code: eng
        Text: English
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        PageCount: 31
        StartPage: 11339
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      – TitleFull: Predicting the maximum dry density and optimum moisture content from soil index properties using efficient soft computing techniques.
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            NameFull: Ali, Hunar Farid Hama
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            NameFull: Omer, Bashdar
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            NameFull: Mohammed, Ahmed Salih
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            – D: 01
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              Text: Jul2024
              Type: published
              Y: 2024
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              Value: 36
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              Value: 19
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