A support vector machine for AVO interpretation
Heidi Anderson Kuzma · 2003
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2003A support vector machine for AVO interpretationAuthors: Heidi Anderson KuzmaHeidi Anderson KuzmaUniversity of California, Berkeley, Dept. of Civil and Environmental Engineering, Berkeley, CA, 94720https://doi.org/10.1190/1.1817668 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1817668FiguresReferencesRelatedDetailsCited ByIntroduction4 May 2021Elastic impedance based facies classification using support vector machine and deep learning13 September 2018 | Geophysical Prospecting, Vol. 67, No. 4Support vector machines implemented on a graphics processing unitHeidi Anderson Kuzma, Dave Bremer, and James W. Rector14 September 2007 SEG Technical Program Expanded Abstracts 2003ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2003 Pages: 2452 publication data© 2003 Copyright © 2003 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Jan 2005 CITATION INFORMATION Heidi Anderson Kuzma, (2003), "A support vector machine for AVO interpretation," SEG Technical Program Expanded Abstracts : 181-184. https://doi.org/10.1190/1.1817668 Plain-Language Summary PDF DownloadLoading ...