{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T16:27:10Z","timestamp":1784219230597,"version":"3.55.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/icpr.2018.8545471","type":"proceedings-article","created":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T19:17:38Z","timestamp":1543519058000},"page":"1289-1294","source":"Crossref","is-referenced-by-count":50,"title":["Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition"],"prefix":"10.1109","author":[{"given":"Zhiqiang","family":"Tong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gouhei","family":"Tanaka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1126\/science.1091277"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760407955"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1142\/9781848162778_0008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727398"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.100"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CSE-EUC-DCABES.2016.229"},{"key":"ref16","volume":"14","author":"tikhonov","year":"1977","journal-title":"Solutions of Ill-posed Problems"},{"key":"ref17","first-page":"1","article-title":"Learning representations by back-propagating errors","volume":"5","author":"rumelhart","year":"1988","journal-title":"Cognitive Modeling"},{"key":"ref18","article-title":"Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks","author":"tong","year":"0","journal-title":"Submitted to Neurocomputing"},{"key":"ref19","year":"2016","journal-title":"MATLAB Version 9 1 (R2016b)"},{"key":"ref4","first-page":"349","article-title":"A focused back-propagation algorithm for temporal pattern recognition","volume":"3","author":"mozer","year":"1989","journal-title":"Complex Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref6","first-page":"433","article-title":"Gradient-based learning algorithms for recurrent networks and their computational complexity","volume":"1","author":"williams","year":"1995","journal-title":"Backpropagation Theory Architectures and Applications"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2007.04.003"},{"key":"ref7","author":"hochreiter","year":"2001","journal-title":"Gradient Flow in Recurrent Nets The Difficulty of Learning Long-term Dependencies"},{"key":"ref2","first-page":"448","article-title":"Deep boltzmann machines","author":"salakhutdinov","year":"2009","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref9","first-page":"13","article-title":"The “echo state” approach to analysing and training recurrent neural networks-with an erratum note","volume":"148","author":"jaeger","year":"2001","journal-title":"GMD Technical Report"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2003.1227801"},{"key":"ref22","author":"hinton","year":"2012","journal-title":"Improving Neural Networks by Preventing Co-adaptation of Feature Detectors"},{"key":"ref21","author":"goodfellow","year":"2013","journal-title":"Maxout Networks"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"}],"event":{"name":"2018 24th International Conference on Pattern Recognition (ICPR)","location":"Beijing","start":{"date-parts":[[2018,8,20]]},"end":{"date-parts":[[2018,8,24]]}},"container-title":["2018 24th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8527858\/8545020\/08545471.pdf?arnumber=8545471","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T11:35:52Z","timestamp":1643283352000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8545471\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icpr.2018.8545471","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}