{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T17:35:31Z","timestamp":1785692131807,"version":"3.56.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1109\/islped.2015.7273495","type":"proceedings-article","created":{"date-parts":[[2015,9,24]],"date-time":"2015-09-24T21:53:05Z","timestamp":1443131585000},"page":"85-90","source":"Crossref","is-referenced-by-count":30,"title":["A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses"],"prefix":"10.1109","author":[{"given":"Jaeha","family":"Kung","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duckhwan","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saibal","family":"Mukhopadhyay","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2627369.2627613"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.09.039"},{"key":"ref12","first-page":"1","article-title":"A low-power, high-performance approximate multiplier with configurable partial error recovery","author":"liu","year":"2014","journal-title":"DATE"},{"key":"ref13","first-page":"229","article-title":"JEDEC JESD","year":"2014"},{"key":"ref14","year":"0"},{"key":"ref4","article-title":"A tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the “echo state network” approach","author":"jaeger","year":"2002","journal-title":"GMD Report 159"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5772\/5615"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.06.046"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2010.12.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS.2014.6908370"},{"key":"ref2","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref1","article-title":"Multilayer perceptrons. Neural Networks and Learning Machines","author":"haykin","year":"2009"},{"key":"ref9","first-page":"696","article-title":"A 240 gops\/s mobile coprocessor for deep neural networks","author":"gokhale","year":"2014","journal-title":"cvprw"}],"event":{"name":"2015 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED)","location":"Rome, Italy","start":{"date-parts":[[2015,7,22]]},"end":{"date-parts":[[2015,7,24]]}},"container-title":["2015 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7257319\/7273468\/07273495.pdf?arnumber=7273495","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T20:09:14Z","timestamp":1498248554000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7273495\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/islped.2015.7273495","relation":{},"subject":[],"published":{"date-parts":[[2015,7]]}}}