{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T12:00:35Z","timestamp":1770724835430,"version":"3.49.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"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":["61290321"],"award-info":[{"award-number":["61290321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National High Technology Research and Development Program of China","award":["2012AA041709"],"award-info":[{"award-number":["2012AA041709"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Electron."],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/tie.2019.2903770","type":"journal-article","created":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T18:56:16Z","timestamp":1552503376000},"page":"2469-2479","source":"Crossref","is-referenced-by-count":90,"title":["Hybrid-Model-Based Intelligent Optimization of Ironmaking Process"],"prefix":"10.1109","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2553-1161","authenticated-orcid":false,"given":"Heng","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Haifeng","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3948-0211","authenticated-orcid":false,"given":"Chunjie","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v043.i08"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1109\/21.286385","article-title":"Adaptive probabilities of crossover and mutation in genetic algorithms","volume":"24","author":"patnaik","year":"1994","journal-title":"IEEE Trans Syst Man Cy"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2011.12.004"},{"key":"ref31","first-page":"3792","article-title":"A review of selection methods in genetic algorithm","volume":"3","author":"sivaraj","year":"2011","journal-title":"Int J Eng Sci Tech"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.2307\/2334770"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511997570"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1993.298712"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1999.7.3.205"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2292-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/lsa.2017.141"},{"key":"ref11","article-title":"Recurrent neural network based language model","author":"mikolov","year":"0","journal-title":"Proc Eleventh Annu Conf Int Speech Commun Assoc"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2695539"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2824809"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2787586"},{"key":"ref16","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF01593790"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2186810"},{"key":"ref19","author":"dantzig","year":"2016","journal-title":"Linear Programming and Extensions"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1021\/jacs.7b10660"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2686369"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-001-0166-y"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"14\ufffd988","DOI":"10.1016\/j.ifacol.2017.08.2564","article-title":"A sliding-window t-s fuzzy neural network model for prediction of silicon content in hot metal","volume":"50","author":"zhou","year":"2017","journal-title":"IFAC-PapersOnLine"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2608914"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.860765"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/aic.14426"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2015.11.006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2770177"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744878"},{"key":"ref1","article-title":"World best practice energy intensity values for selected industrial sectors","author":"worrell","year":"2007"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0792-66"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rpg.2017.0346"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2017.2764623"},{"key":"ref24","article-title":"Investigating gated recurrent neural networks for speech synthesis","volume":"abs 1601 2539","author":"wu","year":"2016","journal-title":"CoRR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2819162"},{"key":"ref26","first-page":"2067","article-title":"Gated feedback recurrent neural networks","volume":"37","author":"chung","year":"0","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178814"}],"container-title":["IEEE Transactions on Industrial Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/41\/8889771\/08667016.pdf?arnumber=8667016","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:55:13Z","timestamp":1651067713000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8667016\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":38,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tie.2019.2903770","relation":{},"ISSN":["0278-0046","1557-9948"],"issn-type":[{"value":"0278-0046","type":"print"},{"value":"1557-9948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3]]}}}