{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T05:46:09Z","timestamp":1766641569196,"version":"3.48.0"},"reference-count":19,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171388"],"award-info":[{"award-number":["62171388"]}],"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":["61871461"],"award-info":[{"award-number":["61871461"]}],"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":["61571374"],"award-info":[{"award-number":["61571374"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/lsp.2025.3639373","type":"journal-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:51:18Z","timestamp":1764701478000},"page":"206-210","source":"Crossref","is-referenced-by-count":0,"title":["Hyperparameter Optimization Method for Affine Projection Algorithm Based on Deep Unrolling"],"prefix":"10.1109","volume":"33","author":[{"given":"Xinyan","family":"Hou","sequence":"first","affiliation":[{"name":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0198-1384","authenticated-orcid":false,"given":"Haiquan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqiang","family":"Long","sequence":"additional","affiliation":[{"name":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"Fundamentals of Adaptive Filtering.","year":"2003","author":"Sayed","key":"ref1"},{"volume-title":"Adaptive Filter Theory.","year":"1996","author":"Haykin","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3311880"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/ecja.4400670503"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2003.820077"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2165709"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2025.3542827"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2009.06.023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2014.2305013"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3247480"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3016905"},{"issue":"189","key":"ref12","first-page":"1","article-title":"Learning to optimize: A primer and a benchmark","volume":"23","author":"Chen","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1049\/ell2.12230"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC56721.2023.10293776"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/Allerton58177.2023.10313423"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3029884"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2020.2973764"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2003.821722"},{"article-title":"Recent advances in recurrent neural networks","year":"2017","author":"Salehinejad","key":"ref19"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/11304147\/11271860.pdf?arnumber=11271860","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T05:42:08Z","timestamp":1766641328000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11271860\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3639373","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2026]]}}}