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

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	Book	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