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Using Self-Organizing Map Algorithm to Reveal Stabilities of Parameter Sensitivity Rankings in Microbial Kinetic Models: A Case for Microalgae.

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Title: Using Self-Organizing Map Algorithm to Reveal Stabilities of Parameter Sensitivity Rankings in Microbial Kinetic Models: A Case for Microalgae.
Authors: Fortela, Dhan Lord B.1,2, dhanlord.fortela@louisiana.edu, DeLattre, Alyssa M.1, Sharp, Wayne W.2,3, Revellame, Emmanuel D.2,4, Zappi, Mark E.1,2
Source: Clean Technologies; Mar2023, Vol. 5 Issue 1, p38-50, 13p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 162746703
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PubType: Academic Journal
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  Data: Using Self-Organizing Map Algorithm to Reveal Stabilities of Parameter Sensitivity Rankings in Microbial Kinetic Models: A Case for Microalgae.
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  Data: <searchLink fieldCode="JN" term="%22Clean+Technologies%22">Clean Technologies</searchLink>; Mar2023, Vol. 5 Issue 1, p38-50, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=162746703
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        Value: 10.3390/cleantechnol5010003
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        Text: English
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      – TitleFull: Using Self-Organizing Map Algorithm to Reveal Stabilities of Parameter Sensitivity Rankings in Microbial Kinetic Models: A Case for Microalgae.
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              Text: Mar2023
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