Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions
dc.contributor.author | Taghizadeh-Mehrjardi, Ruhollah | |
dc.contributor.author | Emadi, Mostafa | |
dc.contributor.author | Cherati, Ali | |
dc.contributor.author | Heung, Brandon | |
dc.contributor.author | Mosavi, Amir | |
dc.contributor.author | Scholten, Thomas | |
dc.date.accessioned | 2021-11-30T12:34:08Z | |
dc.date.available | 2021-11-30T12:34:08Z | |
dc.date.created | 2021-03-08T16:32:52Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Remote Sensing. 2021; 13(5):1025 | en_US |
dc.identifier.issn | 2072-4292 | |
dc.identifier.uri | https://hdl.handle.net/11250/2832100 | |
dc.language.iso | eng | en_US |
dc.title | Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | |
dc.source.journal | Remote Sensing | en_US |
dc.identifier.doi | 10.3390/rs13051025 | |
dc.identifier.cristin | 1896457 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 |