{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T01:37:34Z","timestamp":1780882654573,"version":"3.54.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2017YFB0304202"],"award-info":[{"award-number":["2017YFB0304202"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1109\/tim.2020.3003975","type":"journal-article","created":{"date-parts":[[2020,6,22]],"date-time":"2020-06-22T21:24:58Z","timestamp":1592861098000},"page":"9465-9476","source":"Crossref","is-referenced-by-count":26,"title":["A Novel Echo State Network and Its Application in Temperature Prediction of Exhaust Gas From Hot Blast Stove"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1120-6085","authenticated-orcid":false,"given":"Yinghua","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6296-1945","authenticated-orcid":false,"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6453-6299","authenticated-orcid":false,"given":"Xiaozhi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2016.01.056"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1364\/OE.25.016235"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2018.03.010"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/B0-08-043076-7\/00456-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2015.2499019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.applthermaleng.2015.04.026"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2018.09.003"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.03.061"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemosphere.2018.12.128"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.11.054"},{"key":"ref10","first-page":"593","article-title":"Adaptive nonlinear system identification with echo state networks","volume":"15","author":"jaeger","year":"2003","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1006\/enfo.2001.0061"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.09.092"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2188414"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.07.015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IFSA-NAFIPS.2013.6608476"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1109\/TIM.2014.2348613","article-title":"An integrated probabilistic approach to lithium-ion battery remaining useful life estimation","volume":"64","author":"liu","year":"2015","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2006.1693294"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.12.033"},{"key":"ref18","first-page":"1483","article-title":"Direct adaptive control: An echo state network and genetic algorithm approach","author":"xu","year":"2005","journal-title":"Proc IEEE Int Joint Conf Neural Netw"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2005.1570399"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.028"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2007.04.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.1091277"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/S1006-706X(13)60001-1"},{"key":"ref5","article-title":"The &#x2018;echo state&#x2019; approach to analysing and training recurrent neural networks-with an erratum note","author":"jaeger","year":"2001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2014.04.023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.07.065"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2015.2501312"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.12.051"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2253072"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.07.006"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2007.04.021"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.11.021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2015.10.003"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2779329"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2008.35"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1002\/cjce.23665"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.12.031"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2902129"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.05.022"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9253032\/09122050.pdf?arnumber=9122050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:01:06Z","timestamp":1651071666000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9122050\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":44,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tim.2020.3003975","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12]]}}}