{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T20:05:35Z","timestamp":1781813135287,"version":"3.54.5"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB1306603"],"award-info":[{"award-number":["2018YFB1306603"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672436"],"award-info":[{"award-number":["61672436"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Undergraduate Training Programs for Innovation and Entrepreneurship of China","award":["201910635015"],"award-info":[{"award-number":["201910635015"]}]},{"name":"Chongqing Undergraduate Training Programs for Innovation and Entrepreneurship","award":["S201910635035"],"award-info":[{"award-number":["S201910635035"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3006729","type":"journal-article","created":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T20:27:41Z","timestamp":1593721661000},"page":"121385-121397","source":"Crossref","is-referenced-by-count":28,"title":["A Drift-Compensating Novel Deep Belief Classification Network to Improve Gas Recognition of Electronic Noses"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9395-5049","authenticated-orcid":false,"given":"Yutong","family":"Tian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8012-5097","authenticated-orcid":false,"given":"Jia","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiyun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianhang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peiyuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Debo","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0040-3796","authenticated-orcid":false,"given":"Shukai","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"643","article-title":"Learning algorithm for the classification resteicted Boltzmann machine","volume":"13","author":"larochelle","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6706831"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s18010157"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s17122855"},{"key":"ref31","first-page":"865","article-title":"Traffic flow prediction with big data: A deep learning approach","volume":"16","author":"lv","year":"2015","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2809730"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref36","article-title":"Information processing in dynamical systems: Foundations of harmony theory","volume":"315","author":"smolensky","year":"1986"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ChiCC.2016.7553969"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/int.21731"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-4005(97)00175-5"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2009.10.040"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s150100899"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s141119979"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2004.02.024"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2004.827275"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2012.01.074"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2013.10.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2012.11.107"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2367775"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2017.06.156"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/1752-7163\/ab433d"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2669818"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s16101708"},{"key":"ref6","first-page":"57","article-title":"Feature extraction from sensor data for detection of wound pathogen based on electronic nose","volume":"24","author":"yan","year":"2012","journal-title":"Sensors Mater"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900165"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.postharvbio.2007.06.012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodchem.2019.04.054"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2017.07.028"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.juro.2014.01.113"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2014.07.019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1159\/000340044"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/1099-128X(200009\/12)14:5\/6<711::AID-CEM607>3.3.CO;2-W"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2009.10.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2009.11.034"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2016.05.089"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.05.019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2881745"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943188"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09131748.pdf?arnumber=9131748","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:09:39Z","timestamp":1641949779000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9131748\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3006729","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}