{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T04:14:12Z","timestamp":1747973652927},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"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":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9413338","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"7544-7550","source":"Crossref","is-referenced-by-count":4,"title":["Fractional Adaptation of Activation Functions In Neural Networks"],"prefix":"10.1109","author":[{"given":"Julio Zamora","family":"Esquivel","sequence":"first","affiliation":[]},{"given":"Jesus Adan","family":"Cruz Vargas","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Lopez-Meyer","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.11.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2008.07.004"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1121\/1.3631626"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.66.056108"},{"key":"ref14","first-page":"253","author":"abramowitz","year":"1972","journal-title":"Handbook of Mathematical Functions with Formulas Graphs and Mathematical Tables"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2307\/2309786"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1142\/8072"},{"journal-title":"The Fractional Calculus Theory and Applications of Differentiation and Integration to Arbitrary Order","year":"2006","author":"oldham","key":"ref17"},{"journal-title":"An Introduction to the Fractional Calculus and Fractional Differential Equations","year":"1993","author":"miller","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/35016072"},{"key":"ref4","article-title":"Fast and accurate deep network learning by exponential linear units (elus)","author":"clevert","year":"2016","journal-title":"ICLR2016"},{"journal-title":"Network in Network","year":"2013","author":"lin","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref5","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"0","journal-title":"Proc icml ser 1"},{"key":"ref8","first-page":"971","article-title":"Self-normalizing neural networks","author":"klambauer","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"Searching for Activation Function","year":"2018","author":"ramachandran","key":"ref7"},{"journal-title":"Convolutional neural networks for image classification and captioning","year":"2016","author":"sachin","key":"ref2"},{"journal-title":"Learning activation functions to improve deep neural networks","year":"2014","author":"agostinelli","key":"ref9"},{"journal-title":"Beyond Regression New Tools for Prediction and Analysis in the Behavioral Sciences","year":"1974","author":"werbos","key":"ref1"},{"journal-title":"Notice sur la loi que la population poursuit dans son accroissement","year":"2014","author":"verhulst","key":"ref20"},{"key":"ref22","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Rep"},{"key":"ref21","first-page":"472","article-title":"Incorpo-rating second-order functional knowledge for better option pricing","author":"dugas","year":"0","journal-title":"Advances in neural information processing systems"},{"journal-title":"Deep residual learning for image recognition","year":"2015","author":"kaiming he","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref26","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09413338.pdf?arnumber=9413338","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:50Z","timestamp":1652197250000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413338\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9413338","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}