{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:07:58Z","timestamp":1775837278591,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["61933015"],"award-info":[{"award-number":["61933015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3277978","type":"journal-article","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T17:34:29Z","timestamp":1684517669000},"page":"1-13","source":"Crossref","is-referenced-by-count":25,"title":["Collaborative Extraction of Intervariable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0810-5811","authenticated-orcid":false,"given":"Liyuan","family":"Kong","sequence":"first","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4362-2104","authenticated-orcid":false,"given":"Chunjie","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6611-4754","authenticated-orcid":false,"given":"Siwei","family":"Lou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1697-4825","authenticated-orcid":false,"given":"Yu","family":"Cai","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4457-2900","authenticated-orcid":false,"given":"Xiaoke","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5790-5025","authenticated-orcid":false,"given":"Mingyang","family":"Sun","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3011251"},{"key":"ref35","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"xavier","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2019.104198"},{"key":"ref34","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"bengio","year":"2013","journal-title":"arXiv 1308 3432"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3205356"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2951708"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00630"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015929"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3112487"},{"key":"ref32","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2967708"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3053128"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.01.136"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2022.3215448"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2021.08.014"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3037953"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSS53909.2021.9721969"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3177217"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2020.104614"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3127204"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02518-9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref29","first-page":"1","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"li","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/ie200274q"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3069869"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2903770"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2968162"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3200113"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3013972"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.04.060"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10129979.pdf?arnumber=10129979","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T17:56:56Z","timestamp":1687197416000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10129979\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3277978","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}