Bio-inspired hybridization of artificial neural networks : an application for mapping the spatial distribution of soil texture fractions

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dc.contributor.author Taghizadeh-Mehrjardi, Ruhollah de_DE
dc.contributor.author Scholten, Thomas de_DE
dc.date.accessioned 2021-04-07T13:29:47Z
dc.date.available 2021-04-07T13:29:47Z
dc.date.issued 2021 de_DE
dc.identifier.uri http://hdl.handle.net/10900/114070
dc.language.iso en
dc.relation.uri https://doi.org/10.3390/rs13051025 de_DE
dc.title Bio-inspired hybridization of artificial neural networks : an application for mapping the spatial distribution of soil texture fractions de_DE
dc.type Buch (Monographie) de_DE
utue.personen.pnd Scholten, Thomas/187344825 de_DE
utue.publikation.seiten 23 Seiten de_DE
utue.personen.roh Taghizadeh-Mehrjardi, Ruhollah de_DE
utue.personen.roh Emadi, Mostafa de_DE
utue.personen.roh Cherati, Ali de_DE
utue.personen.roh Heung, Brandon de_DE
utue.personen.roh Mosavi, Amir de_DE
utue.personen.roh Scholten, Thomas de_DE
utue.publikation.seitengesamt 23 de_DE
utue.publikation.buchdesbeitrags Remote sensing - Basel : MDPI, 2009 -13 (2021), 5, article 1025 de_DE
utue.titel.verfasserangabe Ruhollah Taghizadeh-Mehrjardi, Mostafa Emadi, Ali Cherati, Brandon Heung, Amir Mosavi and Thomas Scholten de_DE
utue.publikation.abrufzeichen t017 de_DE
utue.publikation.swbdatum 2103 de_DE
utue.artikel.ppn 1751737268 de_DE


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