A simulated annealing neural network and Lanczos inverse approach for impedance inversion
Shouli Qu, Fanchang Zhang, Xingyao Yin · 1998
PreviousNext No AccessSEG Technical Program Expanded Abstracts 1998A simulated annealing neural network and Lanczos inverse approach for impedance inversionAuthors: Shouli QuFanchang ZhangXingyao YinShouli QuComputer Center of Shengli Petroleum Administration Bureau, China, Fanchang ZhangUniversity of Petroleum, China, and Xingyao YinUniversity of Petroleum, Chinahttps://doi.org/10.1190/1.1820079 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1820079FiguresReferencesRelatedDetailsCited ByInverse Theory, Artificial Neural Networks27 May 2021Inverse Theory: Artificial Neural Networks25 August 2020Simulated annealing for airborne EM inversionGEOPHYSICS, Vol. 72, No. 4 SEG Technical Program Expanded Abstracts 1998ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 1998 Pages: 2092 publication data© 1998 Copyright © 1998 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 06 Jan 2005 CITATION INFORMATION Shouli Qu, Fanchang Zhang, and Xingyao Yin, (1998), "A simulated annealing neural network and Lanczos inverse approach for impedance inversion," SEG Technical Program Expanded Abstracts : 1100-1103. https://doi.org/10.1190/1.1820079 Plain-Language Summary PDF DownloadLoading ...