{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T15:39:30Z","timestamp":1788622770847,"version":"build-2803163510"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/tnnls.2020.2979920","type":"journal-article","created":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T20:00:24Z","timestamp":1585944024000},"page":"900-908","source":"Crossref","is-referenced-by-count":12,"title":["Quaternion Projection Rule for Rotor Hopfield Neural Networks"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4453-0615","authenticated-orcid":false,"given":"Masaki","family":"Kobayashi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5540\/03.2018.006.02.0328"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889619"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2657781"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.006"},{"key":"ref36","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1515\/jaiscr-2018-0015"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1109\/TNN.2006.878786","article-title":"Improvements of complex-valued Hopfield associative memory by using generalized projection rules","volume":"17","author":"lee","year":"2006","journal-title":"IEEE Trans Neural Netw"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2341013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1587\/transfun.E97.A.1680"},{"key":"ref12","first-page":"560","article-title":"Models of Hopfield-type clifford neural networks and their energy functions-hyperbolic and dual valued networks-","author":"kuroe","year":"2011","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2230450"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.10.053"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596736"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10015-015-0247-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6707127"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252536"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.06.013"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292706"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2000.906153"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2635140"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/72.548176"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.813844"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2518672"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICONIP.2002.1202789"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1109\/72.914540","article-title":"Improving the capacity of complex-valued neural networks with a modified gradient descent learning rule","volume":"12","author":"liang lee","year":"2001","journal-title":"IEEE Trans Neural Netw"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2009.2025500"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/BF01068667"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2280573"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01071034"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.044"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.023"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2691462"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BRACIS.2017.52"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727777"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.07.048"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1142\/S012906570500013X"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9346113\/09056857.pdf?arnumber=9056857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:10Z","timestamp":1652194390000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9056857\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":36,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.2979920","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}