{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T01:11:20Z","timestamp":1768439480295,"version":"3.49.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871398"],"award-info":[{"award-number":["61871398"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61501510"],"award-info":[{"award-number":["61501510"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61631020"],"award-info":[{"award-number":["61631020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20150717"],"award-info":[{"award-number":["BK20150717"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2018T110426"],"award-info":[{"award-number":["2018T110426"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province","award":["BK20160034"],"award-info":[{"award-number":["BK20160034"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2864222","type":"journal-article","created":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T19:04:22Z","timestamp":1533668662000},"page":"45923-45933","source":"Crossref","is-referenced-by-count":86,"title":["Spectrum Prediction Based on Taguchi Method in Deep Learning With Long Short-Term Memory"],"prefix":"10.1109","volume":"6","author":[{"given":"Ling","family":"Yu","sequence":"first","affiliation":[]},{"given":"Jin","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1780-2547","authenticated-orcid":false,"given":"Guoru","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Ya","family":"Tu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2849-4888","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jiachen","family":"Sun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","author":"phadke","year":"1995","journal-title":"Quality Engineering Using Robust Design"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/71.3.599"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref32","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":"ref31","article-title":"Experiments on learning by back propagation","author":"plaut","year":"1986"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2017.8322623"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2766076"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2693384"},{"key":"ref35","article-title":"Empirical modelling of spectrum use and evaluation of adaptive spectrum sensing in dynamic spectrum access networks","author":"wellens","year":"2010"},{"key":"ref34","volume":"4","author":"taguchi","year":"1993","journal-title":"Taguchi Methods Design of Experiments(Taguchi Methods Series)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2007.912960"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2574840"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2015.2398862"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2015.7355585"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2751058"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2403231"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2673123"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2758370"},{"key":"ref17","first-page":"1","article-title":"Sentiment-aware stock market prediction: A deep learning method","author":"li","year":"2017","journal-title":"Proc IEEE Int Conf Syst Service Manage"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2016.0078"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-009-0352-5"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CC.2017.8233654"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2251071"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1700246"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2012.122212.111638"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1967.5573"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CCAAW.2017.8001877"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2017.2702178"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2015.7158283"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2010.102610.101581"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011426600077"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2013.6566941"},{"key":"ref1","article-title":"Shared spectrum company general survey of radio frequency bands (30 Hz to 3 GHz)","year":"2009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2008.287"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2013.283"},{"key":"ref21","author":"hua","year":"2017","journal-title":"Traffic prediction based on random connectivity in deep learning with long short-term memory"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/wcm.1017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2487047"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2751641"},{"key":"ref25","author":"zhang","year":"2018","journal-title":"Deep learning in mobile and wireless networking A survey"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08428623.pdf?arnumber=8428623","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T11:37:05Z","timestamp":1643197025000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8428623\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2864222","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}