{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:37:15Z","timestamp":1753601835110,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852280","type":"proceedings-article","created":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T23:44:32Z","timestamp":1569887072000},"page":"1-9","source":"Crossref","is-referenced-by-count":3,"title":["In a Spin-Wave Reservoir for Machine Learning"],"prefix":"10.1109","author":[{"given":"Ryosho","family":"Nakane","sequence":"first","affiliation":[]},{"given":"Gouhei","family":"Tanaka","sequence":"additional","affiliation":[]},{"given":"Akira","family":"Hirose","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2765491.2765531"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70093-9_48"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nature23011"},{"key":"ref13","article-title":"Recent Advances in Physical Reservoir Computing: A Review","author":"tanaka","year":"2018","journal-title":"arXiv 1808 04962"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNANO.2016.2545690"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2794584"},{"journal-title":"Spin Waves Theory and applications","year":"2009","author":"stancil","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1063\/1.1653335"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"6700104","DOI":"10.1109\/LMAG.2014.2350958","article-title":"Nanometer-Thick Yttrium Iron Garnet Films With Extremely Low Damping","volume":"5","author":"chang","year":"2014","journal-title":"IEEE Magnetics Letters"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2007.04.003"},{"key":"ref27","first-page":"15001 1","article-title":"Measurements of the exchange stiffness of YIG films using broadband ferromagnetic resonance techniques","volume":"48","author":"klingler","year":"2014","journal-title":"J Phys D Appl Phys"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760407955"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/srep00287"},{"key":"ref5","first-page":"1","article-title":"The &#x201D;echo state\" approach to analysing and training recurrent neural networks","author":"jaeger","year":"2001","journal-title":"GMD Report 148 German National Research Center for Information Technology"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms1476"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/OE.20.003241"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1091277"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/0957-4484\/24\/38\/384004"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2579198"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.1978.1059832"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2007.893790"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/srep21330"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1063\/1.4899186"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms10377"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1143\/APEX.5.103002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6463\/aa6b1c"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852280.pdf?arnumber=8852280","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:55:29Z","timestamp":1658080529000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852280\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852280","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}