{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:30:47Z","timestamp":1778758247131,"version":"3.51.4"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["4210040326"],"award-info":[{"award-number":["4210040326"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Smart Grid Energy Storage Technology","award":["02130052020044"],"award-info":[{"award-number":["02130052020044"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2021.3112192","type":"journal-article","created":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T21:11:37Z","timestamp":1632863497000},"page":"1-14","source":"Crossref","is-referenced-by-count":8,"title":["Transient Electromagnetic Inversion: An ICDE-Trained Kernel Principal Component OSELM Approach"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2213-3352","authenticated-orcid":false,"given":"Ruiyou","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2631-4740","authenticated-orcid":false,"given":"Huaiqing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8574-4396","authenticated-orcid":false,"given":"Zhao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8528-3809","authenticated-orcid":false,"given":"Ruiheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1190\/tle31050518.1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/36.927453"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1190\/1.1443900"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2478.1996.tb00142.x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2478.2001.00267.x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2020.104434"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0129.1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3076121"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3032743"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1190\/1.2432481"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2011.08.029"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2012.08.002"},{"issue":"4","key":"ref13","first-page":"1563","article-title":"Magnetotelluric inversion based on BP neural network optimized by genetic algorithm","volume":"61","author":"Wang","year":"2018","journal-title":"Geophysics"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00024-014-0802-2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/08123985.2019.1668240"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2900992"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2009.04.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5194\/npg-26-445-2019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2012.07.020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11771-016-3269-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11770-016-0561-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2012.09.018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.gsf.2012.02.003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.04.012"},{"issue":"2","key":"ref25","first-page":"297","article-title":"Application of artificial neural network for the inversion of electrical resistivity data","volume":"9","author":"Johnson","year":"2017","journal-title":"J. Informat. Math. Sci."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s12040-014-0402-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2478.2000.00171.x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.11.015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2073482"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2004.1380068"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.809401"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.875977"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.07.031"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/9593682"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s19020235"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-019-01584-4"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/en12183535"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2010506"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.880583"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.09.043"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.05.068"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-017-9504-2"},{"key":"ref44","first-page":"176","article-title":"Combining principal component analysis and neural networks for the recognition of human faces\u2014A case study for manmachine-communication","volume-title":"Proc. Pacific Graph.","author":"Gross"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2007.905490"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2007.12.003"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2012.10.003"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2873988"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3390\/met9020155"},{"issue":"9","key":"ref50","first-page":"3356","article-title":"Ultra-high density resistivity nonlinear inversion based on principal component-regularized ELM","volume":"58","author":"Jiang","year":"2015","journal-title":"Chin. J. Geophys.-Chinese Ed."},{"key":"ref51","first-page":"686","article-title":"Frequency and transient sounding","volume-title":"Geochemistry and Geophysics","volume":"16","author":"Kaufman","year":"1983"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1190\/1.1442303"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1190\/1.1444893"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1111\/1365-2478.12185"},{"issue":"4","key":"ref55","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution\u2014A simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"J. Global Optim."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/NAFIPS.1996.534790"},{"issue":"12","key":"ref57","first-page":"3083","article-title":"Linear inversion of geophysics based on hybrid differential evolution algorithm","volume":"52","author":"Pan","year":"2009","journal-title":"Chin. J. Geophys.-Chin. Ed."},{"issue":"4","key":"ref58","first-page":"1331","article-title":"Bayesian theory differential evolution inversion method for microseismic data","volume":"56","author":"Song","year":"2013","journal-title":"Chin. J. Geophys.-Chin. Ed."},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2008.07.008"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11771-014-2151-9"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-020-05625-3"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.04.002"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-014-1304-6"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-019-00640-w"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1063\/1.4992952"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1177\/0040517518764020"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-1903-2"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2020.103991"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2016.11.020"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s11770-016-0543-3"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.4133\/1.2923311"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09550751.pdf?arnumber=9550751","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9550751\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":71,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2021.3112192","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}