{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:10:59Z","timestamp":1780636259222,"version":"3.54.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":["61503104"],"award-info":[{"award-number":["61503104"]}],"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":["61573123"],"award-info":[{"award-number":["61573123"]}],"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":["91648208"],"award-info":[{"award-number":["91648208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001655","name":"Deutscher Akademischer Austauschdienst","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001655","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/tnnls.2018.2877468","type":"journal-article","created":{"date-parts":[[2018,11,13]],"date-time":"2018-11-13T19:41:53Z","timestamp":1542138113000},"page":"2093-2107","source":"Crossref","is-referenced-by-count":53,"title":["Extreme Learning Machine With Affine Transformation Inputs in an Activation Function"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6480-5794","authenticated-orcid":false,"given":"Jiuwen","family":"Cao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7603-6497","authenticated-orcid":false,"given":"Hongwei","family":"Yong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5878-5563","authenticated-orcid":false,"given":"Xiaoping","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1710-3818","authenticated-orcid":false,"given":"Badong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1587-1226","authenticated-orcid":false,"given":"Zhiping","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"ref38","first-page":"1","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"xu","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","author":"arpit","year":"2016","journal-title":"Normalization propagation A parametric technique for removing internal covariate shift in deep networks"},{"key":"ref32","author":"salimans","year":"2016","journal-title":"Weight normalization A simple reparameterization to accelerate training of deep neural networks"},{"key":"ref31","author":"ioffe","year":"2015","journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift"},{"key":"ref30","first-page":"180","article-title":"Mean-normalized stochastic gradient for large-scale deep learning","author":"simon","year":"2014","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref36","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Conf Workshop Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2797143.2797161"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-49430-8_2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11045-015-0374-z"},{"key":"ref29","first-page":"657","article-title":"A convergence analysis of log-linear training","author":"simon","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/72.471375"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2015.2487963"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2016.08.024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2015.07.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2533424"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-014-2424-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2549552"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2609999"},{"key":"ref50","first-page":"31","article-title":"Representational learning with extreme learning machine for big data","volume":"28","author":"kasun","year":"2013","journal-title":"IEEE Intell Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2009.12.007"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2504382"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-011-9176-y"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2607757"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2450498"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/18.661502"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2401973"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2357683"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2536649"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2654357"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2269774"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2286078"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2015.2437312"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2015.2405316"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-015-9333-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2336665"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2335212"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2636834"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2015.2405352"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2016.06.001"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"836","DOI":"10.1109\/TNNLS.2013.2281839","article-title":"Sparse Bayesian extreme learning machine for multi-classification","volume":"25","author":"luo","year":"2014","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref46","author":"myers","year":"1990","journal-title":"Classical and Modern Regression with Applications"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2005.12.002"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.01.072"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.12.042"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRev.106.620"},{"key":"ref41","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.2307\/2337118"},{"key":"ref43","author":"kallenberg","year":"2001","journal-title":"Foundations of Modern Probability"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8738884\/08533625.pdf?arnumber=8533625","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:47:16Z","timestamp":1657745236000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8533625\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":53,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2018.2877468","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7]]}}}