{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T20:57:08Z","timestamp":1776977828451,"version":"3.51.4"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/vdat50263.2020.9190498","type":"proceedings-article","created":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T17:16:08Z","timestamp":1599758168000},"page":"1-4","source":"Crossref","is-referenced-by-count":27,"title":["CORDIC Based Implementation of the Softmax Activation Function"],"prefix":"10.1109","author":[{"given":"Aishwarya","family":"Kagalkar","sequence":"first","affiliation":[]},{"given":"S.","family":"Raghuram","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","article-title":"Simplified hardware implementation of the softmax activation function","author":"ioannis","year":"0","journal-title":"2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST)"},{"key":"ref3","article-title":"Efficient hardware architecture of softmax layer in deep neural network","author":"bo","year":"0","journal-title":"2016 29th IEEE International System-on-Chip Conference (SOCC)"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.neucom.2017.03.044","article-title":"High accuracy FPGA activation function implementation for neural networks","volume":"247","author":"zbigniew","year":"2017","journal-title":"Neurocomputing"},{"key":"ref5","article-title":"A high-speed and low-complexity architecture for softmax function in deep learning","author":"meiqi","year":"0","journal-title":"2018 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)"},{"key":"ref8","first-page":"958","author":"milton","year":"1988","journal-title":"Handbook of Mathematical Functions with Formulas Graphs and Mathematical Tables"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2009.2025803"},{"key":"ref2","author":"ian","year":"2016","journal-title":"Deep Learning"},{"key":"ref9","author":"israel","year":"2018","journal-title":"Computer Arithmetic Algorithms"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2016.2598413"}],"event":{"name":"2020 24th International Symposium on VLSI Design and Test (VDAT)","location":"Bhubaneswar, India","start":{"date-parts":[[2020,7,23]]},"end":{"date-parts":[[2020,7,25]]}},"container-title":["2020 24th International Symposium on VLSI Design and Test (VDAT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9184154\/9190176\/09190498.pdf?arnumber=9190498","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T11:17:16Z","timestamp":1656587836000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9190498\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/vdat50263.2020.9190498","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}