{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T16:00:36Z","timestamp":1780675236291,"version":"3.54.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"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":["62006011"],"award-info":[{"award-number":["62006011"]}],"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":["U20A20204"],"award-info":[{"award-number":["U20A20204"]}],"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":["62072019"],"award-info":[{"award-number":["62072019"]}],"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":["62004011"],"award-info":[{"award-number":["62004011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"111 Talent Program","award":["B16001"],"award-info":[{"award-number":["B16001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tnnls.2023.3265533","type":"journal-article","created":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T18:50:54Z","timestamp":1683139854000},"page":"12913-12923","source":"Crossref","is-referenced-by-count":24,"title":["An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2207-6092","authenticated-orcid":false,"given":"Xiaotao","family":"Jia","sequence":"first","affiliation":[{"name":"School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4778-7256","authenticated-orcid":false,"given":"Huiyi","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7400-8900","authenticated-orcid":false,"given":"Yuhao","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8424-7040","authenticated-orcid":false,"given":"Jianlei","family":"Yang","sequence":"additional","affiliation":[{"name":"BDBC, School of Computer Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0080-4730","authenticated-orcid":false,"given":"Xueyan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6388-5008","authenticated-orcid":false,"given":"Weitao","family":"Pan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youguang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7132-2291","authenticated-orcid":false,"given":"Sorin","family":"Cotofana","sequence":"additional","affiliation":[{"name":"Computer Engineering Laboratory, Delft University of Technology, CD Delft, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8088-0404","authenticated-orcid":false,"given":"Weisheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3234150"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979670"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2766168"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015992"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2017.8038465"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2985588"},{"issue":"1","key":"ref8","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10955-017-1836-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280459"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"ref12","article-title":"Bayesian convolutional neural networks with Bernoulli approximate variational inference","author":"Gal","year":"2015","journal-title":"arXiv:1506.02158"},{"key":"ref13","first-page":"1","article-title":"Deep probabilistic programming","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Tran"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3102\/1076998619872761"},{"key":"ref15","article-title":"ZhuSuan: A library for Bayesian deep learning","author":"Shi","year":"2017","journal-title":"arXiv:1709.05870"},{"issue":"1","key":"ref16","first-page":"973","article-title":"Pyro: Deep universal probabilistic programming","volume":"20","author":"Bingham","year":"2018","journal-title":"J. Mach. Learn. Res."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.04.013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2499302"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3296957.3173212"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2020.2968223"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CANDAR.2019.00024"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116302"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2022.11.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2987760"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM19573.2019.8993616"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00030"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586137"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3160948"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/a-sscc56115.2022.9980539"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2980052"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2465787.2465794"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2017.8009167"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2413754"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2018.2817237"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2018.8297385"},{"key":"ref36","first-page":"567","article-title":"A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology","volume-title":"Proc. 46th Int. Symp. Comput. Archit.","author":"Cai"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2019.2897631"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3009047"},{"key":"ref39","article-title":"De Moivre on the law of normal probability","volume-title":"A Source Book Mathematics","author":"Walker","year":"1985"},{"key":"ref40","first-page":"220","article-title":"An FPGA based processor yields a real time high fidelity radar environment simulator","volume-title":"Proc. MAPLT","author":"Andraka"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.61.1.25"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/reconfig.2009.11"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref44","volume-title":"MNIST Handwritten Digit Database","author":"LeCun","year":"2010"},{"key":"ref45","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8714937"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"issue":"1","key":"ref48","first-page":"21","article-title":"Power comparisons of Shapiro\u2013Wilk, Kolmogorov\u2013Smirnov, Lilliefors and Anderson\u2013Darling tests","volume":"2","author":"Razali","year":"2011","journal-title":"J. Stat. Model. Analyt."}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10663876\/10114994.pdf?arnumber=10114994","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:32:21Z","timestamp":1743042741000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10114994\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":48,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3265533","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}