{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:26:43Z","timestamp":1765232803895,"version":"3.37.3"},"reference-count":24,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61574099"],"award-info":[{"award-number":["61574099"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin Municipal Transportation Science and Technology Development Plan Project","award":["2017B-40"],"award-info":[{"award-number":["2017B-40"]}]},{"name":"Alibaba Group through Alibaba Innovative Research (AIR) Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2951710","type":"journal-article","created":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T20:58:20Z","timestamp":1573073900000},"page":"161499-161509","source":"Crossref","is-referenced-by-count":10,"title":["Heterogeneous Acceleration of Hybrid PSO-QN Algorithm for Neural Network Training"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2468-5799","authenticated-orcid":false,"given":"Shun","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1375-0508","authenticated-orcid":false,"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiajun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2528\/PIER07072504"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001414590034"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.02.013"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2012.11.008"},{"journal-title":"OpenCL Programming Guide","year":"2011","author":"munshi","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/NaBIC.2011.6089659"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1109\/TSMCB.2010.2103055","article-title":"A hybrid PSO-BFGS strategy for global optimization of multimodal functions","volume":"41","author":"li","year":"2011","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"journal-title":"The OpenCL Specification Version 1 2 Document Revision 15","year":"2011","author":"munshi","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/FPT.2017.8280132"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2009.4983119"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/imanum\/8.1.141"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1109\/TITB.2012.2206602","article-title":"A wearable sensor module with a neural-network-based activity classification algorithm for daily energy expenditure estimation","volume":"16","author":"lin","year":"2012","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"ref6","first-page":"760","article-title":"Particle swarm optimization","author":"kennedy","year":"2011","journal-title":"Encyclopedia of Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.09.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCA.2016.7505399"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1024013824524"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2009.2036412"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CITSM.2014.7042180"},{"key":"ref9","first-page":"48","article-title":"A hybrid particle swarm&#x2014;Gradient algorithm for global structural optimization","volume":"26","author":"plevris","year":"2011","journal-title":"Comput -Aided Civil Infrastruct Eng"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2014.6900461"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2015.2504099"},{"key":"ref21","first-page":"17","article-title":"Neural network training acceleration with PSO algorithm on a GPU using Open CL","author":"li","year":"2017","journal-title":"Proc Int Symp Highly-Efficient Accel Reconfigurable Technol (HEART)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2008.4630938"},{"journal-title":"Neural Networks for RF and Microwave Design","year":"2000","author":"zhang","key":"ref23"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08892465.pdf?arnumber=8892465","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:39:49Z","timestamp":1628624389000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8892465\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2951710","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}