{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T07:08:21Z","timestamp":1770966501006,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2017YFB0304203"],"award-info":[{"award-number":["2017YFB0304203"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573308"],"award-info":[{"award-number":["61573308"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 106-2221-E-033-060-MY3"],"award-info":[{"award-number":["MOST 106-2221-E-033-060-MY3"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1109\/tase.2018.2831901","type":"journal-article","created":{"date-parts":[[2018,6,12]],"date-time":"2018-06-12T19:31:47Z","timestamp":1528831907000},"page":"286-297","source":"Crossref","is-referenced-by-count":15,"title":["Development of Self-Learning Kernel Regression Models for Virtual Sensors on Nonlinear Processes"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1267-2763","authenticated-orcid":false,"given":"Chihang","family":"Wei","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9994-839X","authenticated-orcid":false,"given":"Junghui","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4098-6479","authenticated-orcid":false,"given":"Zhihuan","family":"Song","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3973-2295","authenticated-orcid":false,"given":"Chun-I.","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2010.07.034"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022602019183"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2003.09.012"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/10556789908805765"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2017.06.011"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2004.04.013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012526430-3\/50009-X"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/S0098-1354(00)00489-0"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1126\/science.247.4945.978"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2007.907609"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2015.2409299"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2011.2176759"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2011.2169405"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2010.2089451"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2360214"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690400809"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2307\/2291207"},{"key":"ref18","first-page":"97","article-title":"Kernel partial least squares regression in reproducing kernel Hilbert space","volume":"2","author":"rosipal","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2009.2033181"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2014.04.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/aic.12422"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2016.09.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2013.2287101"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2010.09.008"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/1038003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/aic.11648"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2013.2288279"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1021\/ie504185j"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2006.876610"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2608914"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2008.12.012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2015.2477272"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(99)00032-5"},{"key":"ref21","first-page":"1043","article-title":"Learning the kernel with hyperkernels","volume":"6","author":"ong","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.03.047"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cherd.2009.04.011"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2014.01.012"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2004.841784"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.03.042"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015345"},{"key":"ref43","first-page":"1385","article-title":"Colored maximum variance unfolding","author":"song","year":"2007","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-4939-z"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/8602371\/08382220.pdf?arnumber=8382220","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:12:46Z","timestamp":1657746766000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8382220\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":44,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tase.2018.2831901","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1]]}}}