{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:30:37Z","timestamp":1775143837378,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["61873321"],"award-info":[{"award-number":["61873321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Technology Innovation Project of Hubei Province of China","award":["2019AEA171"],"award-info":[{"award-number":["2019AEA171"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Fuzzy Syst."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tfuzz.2022.3185464","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T19:49:02Z","timestamp":1655927342000},"page":"254-264","source":"Crossref","is-referenced-by-count":55,"title":["Layer Normalization for TSK Fuzzy System Optimization in Regression Problems"],"prefix":"10.1109","volume":"31","author":[{"given":"Yuqi","family":"Cui","sequence":"first","affiliation":[{"name":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control and School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1591-0384","authenticated-orcid":false,"given":"Yifan","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control and School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4869-1328","authenticated-orcid":false,"given":"Ruimin","family":"Peng","sequence":"additional","affiliation":[{"name":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control and School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7153-9703","authenticated-orcid":false,"given":"Dongrui","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control and School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/21.256541"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1985.6313399"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(75)80002-2"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1142\/4177","volume-title":"Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases","volume":"19","author":"Cordn","year":"2001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2010.2091961"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2895572"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2941697"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.2967282"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2958559"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.05.084"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2021.3062899"},{"key":"ref12","first-page":"1","article-title":"On large-batch training for deep learning: Generalization gap and sharp minima","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Keskar","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2007.902016"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2021.3106330"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534265"},{"key":"ref16","article-title":"Outrageously large neural networks: The sparsely-gated mixture-of-experts layer","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Shazeer","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639346"},{"key":"ref18","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ioffe","year":"2015"},{"key":"ref19","article-title":"Layer normalization","author":"Ba","year":"2016"},{"key":"ref20","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref21","first-page":"1","article-title":"Adaptive gradient methods with dynamic bound of learning rate","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Luo","year":"2019"},{"key":"ref22","first-page":"18795","article-title":"AdaBelief optimizer: Adapting stepsizes by the belief in observed gradients","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zhuang","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.02.009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IFSA-SCIS.2017.8023307"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.2992856"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2019.2913770"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.07.021"},{"issue":"1","key":"ref28","first-page":"66","article-title":"Self-constructing fuzzy neural networks with extended Kalman filter","volume":"12","author":"Er","year":"2010","journal-title":"Int. J. Fuzzy Syst."},{"key":"ref29","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(98)00238-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.07.003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZY.1998.686295"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/91.995117"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2574915"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.2307\/2279372"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2307\/4615733"}],"container-title":["IEEE Transactions on Fuzzy Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/91\/10003087\/09804236.pdf?arnumber=9804236","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T05:56:34Z","timestamp":1706766994000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9804236\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":37,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tfuzz.2022.3185464","relation":{},"ISSN":["1063-6706","1941-0034"],"issn-type":[{"value":"1063-6706","type":"print"},{"value":"1941-0034","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}