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Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds.

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Title: Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds.
Authors: Le, Duc1,2, Huang, Wenrui1,2, whuang@eng.famu.fsu.edu, Johnson, Elijah2,3
Source: Neural Computing & Applications; Oct2019, Vol. 31 Issue 10, p6249-6259, 11p
Database: Applied Science & Technology Source
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An: 139232471
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  Data: Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Oct2019, Vol. 31 Issue 10, p6249-6259, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=139232471
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00521-018-3436-y
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 6249
    Titles:
      – TitleFull: Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds.
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            NameFull: Le, Duc
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            NameFull: Huang, Wenrui
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            NameFull: Johnson, Elijah
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            – D: 01
              M: 10
              Text: Oct2019
              Type: published
              Y: 2019
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              Value: 31
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              Value: 10
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            – TitleFull: Neural Computing & Applications
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