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Artificial neural network-based meta-models for predicting the aerodynamic characteristics of two-dimensional airfoils for small horizontal axis wind turbine.

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Title: Artificial neural network-based meta-models for predicting the aerodynamic characteristics of two-dimensional airfoils for small horizontal axis wind turbine.
Authors: Verma, Neeraj1 (AUTHOR) turbo.neeraj@gmail.com, Baloni, Beena D.1 (AUTHOR)
Source: Clean Technologies & Environmental Policy. Mar2022, Vol. 24 Issue 2, p563-577. 15p.
Database: Environment Complete
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  Data: Artificial neural network-based meta-models for predicting the aerodynamic characteristics of two-dimensional airfoils for small horizontal axis wind turbine.
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  Data: <searchLink fieldCode="JN" term="%22Clean+Technologies+%26+Environmental+Policy%22">Clean Technologies & Environmental Policy</searchLink>. Mar2022, Vol. 24 Issue 2, p563-577. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=155433760
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        Value: 10.1007/s10098-021-02059-2
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        Text: English
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        PageCount: 15
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      – TitleFull: Artificial neural network-based meta-models for predicting the aerodynamic characteristics of two-dimensional airfoils for small horizontal axis wind turbine.
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              Text: Mar2022
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              Y: 2022
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