{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:02:32Z","timestamp":1775066552927,"version":"3.50.1"},"reference-count":108,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004763","name":"Natural Science Foundation of Inner Mongolia Autonomous Region","doi-asserted-by":"publisher","award":["2019MS03014"],"award-info":[{"award-number":["2019MS03014"]}],"id":[{"id":"10.13039\/501100004763","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Science and Technology Project in Inner Mongolia Autonomous Region","award":["2019ZD016"],"award-info":[{"award-number":["2019ZD016"]}]},{"name":"Major Science and Technology Project in Inner Mongolia Autonomous Region","award":["2020ZD0007"],"award-info":[{"award-number":["2020ZD0007"]}]},{"name":"Science and Technology Plan Project in Inner Mongolia Autonomous Region","award":["2019GG372"],"award-info":[{"award-number":["2019GG372"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3091162","type":"journal-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T20:05:51Z","timestamp":1624305951000},"page":"91896-91912","source":"Crossref","is-referenced-by-count":193,"title":["Forecast Methods for Time Series Data: A Survey"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6270-9475","authenticated-orcid":false,"given":"Zhenyu","family":"Liu","sequence":"first","affiliation":[]},{"given":"Zhengtong","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"ref38","first-page":"1","article-title":"Forecasting enrollments with fuzzy time series—Part I","volume":"62","author":"qiang","year":"1991","journal-title":"Fuzzy Sets Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.2307\/2109358"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-4076(95)01749-6"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2307\/2329067"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/0927-5398(93)90006-D"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1993.5.2.305"},{"key":"ref36","first-page":"331","article-title":"How neural nets work","author":"lapedes","year":"1987","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1198\/073500102288618496"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1198\/073500102288618487"},{"key":"ref28","first-page":"987","article-title":"Autoregressive conditional heteroscedasticity with estimates of the variance of U","volume":"89","author":"engle","year":"1981","journal-title":"Econometrica"},{"key":"ref27","first-page":"208","article-title":"Specification, estimation, and evaluation of smooth transition autoregressive models","volume":"89","author":"ter\u00e4svirta","year":"1994","journal-title":"J Amer Stat Assoc"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2307\/2938260"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05434-0"},{"key":"ref22","first-page":"35","article-title":"Predicting the number of visceral leishmaniasis cases in Kashgar, Xinjiang, China using the ARIMA-EGARCH model","volume":"13","author":"li","year":"2020","journal-title":"Asian Pacific Journal of Tropical Medicine"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7189\/jogh.10.010803"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01256-1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/2671746"},{"key":"ref101","first-page":"41","article-title":"Corn futures price forecast based on ARIMA time series and support vector machine","author":"shengchao","year":"2019","journal-title":"Proc 4th Int Conf Syst Comput Big Data"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9892.1989.tb00034.x"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1998.10473779"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.01.096"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2015.01.006"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2008.01.095"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/0925-2312(91)90040-I"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.09.067"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.03.077"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.05.023"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.03.069"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.02.004"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/app10061949"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106359"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0165-0114(95)00220-0"},{"key":"ref4","article-title":"On a method of investigating periodicities in distributed series, with special reference to Wolfer’s sunspot numbers","volume":"226","author":"yule","year":"1927","journal-title":"Philos Trans Roy Soc London A"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(86)90063-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9892.2009.00643.x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177730151"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/0378-7796(95)00977-1"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.09.046"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2016.03.006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/3619063"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.09.027"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2014.11.002"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1080\/019697202753306479"},{"key":"ref47","first-page":"934","article-title":"Axiomatic fuzzy set theory and its applications","author":"tian","year":"2008","journal-title":"Proc Inf Sci 2nd Int Conf Inf Syst Sci"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2004.07.024"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2006.890303"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.10.046"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.04.026"},{"key":"ref73","first-page":"599","author":"williams","year":"1998","journal-title":"Prediction with Gaussian processes From linear regression to linear prediction and beyond"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.3182\/20050703-6-CZ-1902.02164"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.021"},{"key":"ref70","article-title":"Automatic model construction with Gaussian processes","author":"duvenaud","year":"2014"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2894807"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2017.05.004"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/34.735807"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-2653-6_19"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2014.01.023"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.07.027"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80092-9"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2020.1782003"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.10.036"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK.2017.8093461"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3019574"},{"key":"ref65","first-page":"1","article-title":"A new bootstrapped hybrid artificial neural network approach for time series forecasting","volume":"1","author":"e?rio?lu","year":"2020","journal-title":"Comput Econ"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.2166\/wst.2019.263"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065704001899"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005941"},{"key":"ref2","first-page":"575","article-title":"On a threshold model in pattern recognition and signal processing","volume":"5","author":"tong","year":"1978","journal-title":"Sijthoff and Noordhoff"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.2307\/2965731"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1980.tb01126.x"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968390"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.2972823"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380296"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906268"},{"key":"ref93","first-page":"1","article-title":"Adversarial sparse transformer for time series forecasting","volume":"33","author":"wu","year":"2020","journal-title":"Proc 34th Conf Neural Inf Process Syst (NeurIPS)"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1007\/s11600-019-00330-1"},{"key":"ref92","first-page":"1","article-title":"Deep transformer models for time series forecasting: The influenza prevalence case","author":"wu","year":"2020","journal-title":"Proc 37th Int Conf Mach Learn"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04867-x"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93713-7_55"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/IEMCON.2019.8936260"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.082"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/ITNEC.2019.8729441"},{"key":"ref102","first-page":"1","article-title":"A hybrid ARIMA-LSTM model optimized by BP in the forecast of outpatient visits","volume":"8","author":"deng","year":"2020","journal-title":"J Ambient Intell Humanized Comput"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-020-02638-w"},{"key":"ref99","article-title":"Application of hybrid ARIMA and artificial neural network modelling for electromagnetic propagation: An alternative to the least squares method and ITU recommendation P.1546-5 for Amazon urbanized cities","volume":"2020","author":"lopes","year":"2020","journal-title":"Int J Antennas Propag"},{"key":"ref96","article-title":"EMD-GM-ARMA model for mining safety production situation prediction","volume":"2020","author":"wu","year":"2020","journal-title":"Complexity"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.3390\/math8101722"},{"key":"ref10","first-page":"96","article-title":"Bootstrap prediction interval for ARMA models with unknown orders","volume":"18","author":"lu","year":"2020","journal-title":"RevStat Statist J"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2019.104578"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/1912791"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2307\/1913236"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1974.1100705"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2016.08.086"},{"key":"ref16","first-page":"199","article-title":"Time series analysis: Forecasting and control, 5th edition","volume":"22","author":"box","year":"2015","journal-title":"J Oper Res Soc"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.081"},{"key":"ref17","first-page":"600","article-title":"Critical areas of Iran for agriculture water management according to the annual rainfall","volume":"84","author":"valipour","year":"2012","journal-title":"Eur J Sci Res"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)IR.1943-4774.0001471"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolind.2018.08.032"},{"key":"ref83","first-page":"1","article-title":"A note on one class of perceptrons","volume":"25","author":"vapnik","year":"1964","journal-title":"Automat Remote Control"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2166\/ws.2019.190"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04916-6"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.12.030"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2018.9010092"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-020-04721-1"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.3906\/elk-1907-218"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2019.8833725"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09461796.pdf?arnumber=9461796","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:41Z","timestamp":1639771001000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9461796\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":108,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3091162","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}