{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T06:01:28Z","timestamp":1782626488897,"version":"3.54.5"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3519438","type":"journal-article","created":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T19:40:41Z","timestamp":1734550841000},"page":"194521-194539","source":"Crossref","is-referenced-by-count":7,"title":["Price Forecast of Treasury Bond Market Yield: Optimize Method Based on Deep Learning Model"],"prefix":"10.1109","volume":"12","author":[{"given":"Weiying","family":"Ping","sequence":"first","affiliation":[{"name":"School of Statistics and Data Science, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7686-0942","authenticated-orcid":false,"given":"Yuwen","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Statistics and Data Science, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangqing","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Statistics and Data Science, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/jrfm16030175"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3381500"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/iccwamtip53232.2021.9674169"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.najef.2021.101396"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jempfin.2021.04.008"},{"key":"ref6","first-page":"1","article-title":"Empirical research based on Nelson\u2013Siegel model in term structure of interest rates of the Shanghai stock treasury bonds","volume-title":"Proc. World Autom. Congr.","author":"Wu"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.econmod.2020.10.015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jedc.2019.103720"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbankfin.2012.03.008"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.qref.2022.10.011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2023.102548"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2023.102946"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ribaf.2015.01.004"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2021.03.009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110867"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.03.029"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.419"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109945"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.038"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.123331"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2023.102914"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCECT57938.2023.10140660"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/Ubi-Media.2019.00055"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.frl.2023.103809"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CIST.2014.7016596"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICOA55659.2022.9934119"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/72.963769"},{"key":"ref29","article-title":"Long short-term memory in recurrent neural networks","author":"Ese","year":"2001"},{"key":"ref30","article-title":"Support for stock trend prediction using transformers and sentiment analysis","author":"Kaeley","year":"2023","journal-title":"arXiv:2305.14368"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1142\/S146902682350013X"},{"key":"ref32","article-title":"iTransformer: Inverted transformers are effective for time series forecasting","author":"Liu","year":"2023","journal-title":"arXiv:2310.06625"},{"key":"ref33","article-title":"Are transformers effective for time series forecasting?","author":"Zeng","year":"2022","journal-title":"arXiv:2205.13504"},{"key":"ref34","article-title":"Long-term forecasting with TiDE: Time-series dense encoder","author":"Das","year":"2023","journal-title":"arXiv:2304.08424"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICIST52614.2021.9440560"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCECT57938.2023.10140991"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/risks10080166"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ribaf.2019.02.002"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/jrfm16030144"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.5539\/ijef.v14n8p23"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.najef.2023.101915"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.002"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.54254\/2754-1169\/91\/20241031"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/DDCLS49620.2020.9275117"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2010.5651355"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2022.09.004"},{"issue":"1","key":"ref47","first-page":"151","article-title":"Stock forecast based on optimized LSTM model","volume":"48","author":"Hu","year":"2021","journal-title":"Comput. Sci."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2023.104258"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICUS58632.2023.10318384"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/IPRECON55716.2022.10059475"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10806713.pdf?arnumber=10806713","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T06:03:34Z","timestamp":1735365814000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10806713\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3519438","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}