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Ground motion prediction maps using seismic-microzonation data and machine learning.

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Title: Ground motion prediction maps using seismic-microzonation data and machine learning.
Authors: Mori, Federico1 (AUTHOR) federico.mori@igag.cnr.it, Mendicelli, Amerigo1 (AUTHOR), Falcone, Gaetano1 (AUTHOR), Acunzo, Gianluca1 (AUTHOR), Spacagna, Rose Line1 (AUTHOR), Naso, Giuseppe2 (AUTHOR), Moscatelli, Massimiliano1 (AUTHOR)
Source: Natural Hazards & Earth System Sciences. 2022, Vol. 22 Issue 3, p947-966. 20p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 156084879
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Natural+Hazards+%26+Earth+System+Sciences%22">Natural Hazards & Earth System Sciences</searchLink>. 2022, Vol. 22 Issue 3, p947-966. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=156084879
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.5194/nhess-22-947-2022
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 947
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      – TitleFull: Ground motion prediction maps using seismic-microzonation data and machine learning.
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            NameFull: Mori, Federico
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            NameFull: Mendicelli, Amerigo
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            NameFull: Falcone, Gaetano
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            NameFull: Acunzo, Gianluca
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            NameFull: Spacagna, Rose Line
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            NameFull: Naso, Giuseppe
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            NameFull: Moscatelli, Massimiliano
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              M: 03
              Text: 2022
              Type: published
              Y: 2022
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            – TitleFull: Natural Hazards & Earth System Sciences
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