{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T11:43:14Z","timestamp":1768822994431,"version":"3.49.0"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"CityU Strategic Research","award":["7005861"],"award-info":[{"award-number":["7005861"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/tnnls.2025.3590097","type":"journal-article","created":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T18:51:46Z","timestamp":1753901506000},"page":"19964-19972","source":"Crossref","is-referenced-by-count":0,"title":["Robust Fault-Aware Extreme Learning Machine Based on Maximum Correntropy"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5621-1259","authenticated-orcid":false,"given":"Yuqi","family":"Xiao","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9894-3925","authenticated-orcid":false,"given":"Muideen","family":"Adegoke","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0962-6723","authenticated-orcid":false,"given":"Chi-Sing","family":"Leung","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3705-5190","authenticated-orcid":false,"given":"Kwok","family":"Wa Leung","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, Hong Kong, SAR, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(94)90063-9"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.01.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.02.012"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.007"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2055888"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3243299"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3176625"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/5.58326"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3256999"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/2.144401"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijheatmasstransfer.2020.120097"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2335212"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3116958"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3347888"},{"key":"ref16","first-page":"21","article-title":"A theoretical framework for back-propagation","volume-title":"Proc. Connectionist Models Summer School","volume":"1","author":"LeCun"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.04.126"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2335751"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3025905"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2900509"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2352594"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.107918"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110799"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyai.2023.100243"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2845857"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2952236"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2931403"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/b:aire.0000045502.10941.a9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.1994.577069"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1969.7388"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/82.718593"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/72.238315"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/72.363479"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CIDM.2009.4938676"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2738060"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027822"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2020.05.027"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015356"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.02.010"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3029198"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2020.2995419"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082571"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896065"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00828-3_7"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(70)90324-0"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553526"},{"key":"ref48","article-title":"The UCI machine learning repository","author":"Kelly"},{"key":"ref49","article-title":"Robust fault-aware extreme learning machine based on maximum correntropy","author":"Yuqi","year":"2025","journal-title":"Dryad Digital Repository"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.2307\/2279372"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1080\/03610928008827904"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/11220834\/11104092.pdf?arnumber=11104092","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T18:41:36Z","timestamp":1765219296000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11104092\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":51,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2025.3590097","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}