{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T11:21:43Z","timestamp":1782645703742,"version":"3.54.5"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","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"}],"funder":[{"name":"ERDF\/ESF","award":["CZ.02.1.01\/0.0\/0.0\/17_049\/0008414"],"award-info":[{"award-number":["CZ.02.1.01\/0.0\/0.0\/17_049\/0008414"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Fuzzy Syst."],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/tfuzz.2019.2911494","type":"journal-article","created":{"date-parts":[[2020,5,30]],"date-time":"2020-05-30T00:53:55Z","timestamp":1590800035000},"page":"1195-1204","source":"Crossref","is-referenced-by-count":43,"title":["Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4349-9705","authenticated-orcid":false,"given":"Petr","family":"Hurtik","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0499-0481","authenticated-orcid":false,"given":"Vojtech","family":"Molek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Hula","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1167\/9.12.10"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(99)00163-7"},{"key":"ref33","author":"benesty","year":"2007","journal-title":"Springer Handbook of Speech Processing"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952190"},{"key":"ref31","article-title":"Deep speech: Scaling up end-to-end speech recognition","author":"hannun","year":"2014"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1117\/1.1333677"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2210727"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/B978-008044980-7\/50027-6"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref60","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref62","first-page":"3856","article-title":"Dynamic routing between capsules","author":"sabour","year":"0","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref61","first-page":"92","article-title":"Evaluation of pooling operations in convolutional architectures for object recognition","author":"scherer","year":"0","journal-title":"Proc Int Conf Artif Neural Netw"},{"key":"ref63","first-page":"44","article-title":"Transforming auto-encoders","author":"hinton","year":"0","journal-title":"Proc Int Conf Artif Neural Netw"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/738\/1\/012123"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/0098-3004(84)90020-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1142\/9789812830111"},{"key":"ref65","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00011"},{"key":"ref29","first-page":"1","article-title":"Sensitivity analysis for image represented by fuzzy function","author":"hurtik","year":"2018","journal-title":"Soft Comput"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(97)00121-1"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.3390\/s17112579"},{"key":"ref2","volume":"52","author":"kerre","year":"2013","journal-title":"Fuzzy Techniques in Image Processing"},{"key":"ref1","volume":"517","author":"nov\u00e1k","year":"2012","journal-title":"Mathematical Principles of Fuzzy Logic"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref22","first-page":"3642","article-title":"Multi-column deep neural networks for image classification","author":"ciregan","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2003.1227801"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/RTEICT.2016.7808140"},{"key":"ref23","first-page":"1058","article-title":"Regularization of neural networks using dropconnect","author":"wan","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref25","first-page":"215","article-title":"An analysis of single-layer networks in unsupervised feature learning","author":"coates","year":"0","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2008.08.005"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-266722-0.50016-6"},{"key":"ref59","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"lecun","year":"0","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref58","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"0","journal-title":"Mach Learn Res"},{"key":"ref57","article-title":"Reading digits in natural images with unsupervised feature learning","author":"netzer","year":"0","journal-title":"Proc NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2005.1561621"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/UKRCON.2017.8100357"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727737"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1002\/9781119193210"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66824-6_23"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.824131"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(01)00238-X"},{"key":"ref40","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1997.633847"},{"key":"ref13","article-title":"Deep learning scaling is predictable, empirically","author":"hestness","year":"2017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2015.7486599"},{"key":"ref15","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6706986"},{"key":"ref17","first-page":"1","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref18","first-page":"265","article-title":"On optimization methods for deep learning","author":"le","year":"0","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.22"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1201\/9780203750513","author":"de silva","year":"2018","journal-title":"Intelligent Control Fuzzy Logic Applications"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2015.07.017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/5.364485"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1108\/09685220310468592"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-0357-8_9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2017.8015718"},{"key":"ref49","volume":"122","author":"nachtegael","year":"2013","journal-title":"Fuzzy Filters for Image Processing"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2574915"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.2991\/eusflat.2011.142"},{"key":"ref45","first-page":"431","article-title":"Fuzzy points, fuzzy relations, and fuzzy functions","author":"klawonn","year":"0","journal-title":"Proc Discovering World Fuzzy Logic"},{"key":"ref48","first-page":"321","article-title":"Fuzzy image processing: Potentials and state of the art","author":"tizhoosh","year":"0","journal-title":"Proc 5th Int Conf Soft Comput"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1038\/35058500"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2015.7338082"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2015.09.009"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2016.7737846"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IFSA-SCIS.2017.8023284"}],"container-title":["IEEE Transactions on Fuzzy Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/91\/9130783\/08691766.pdf?arnumber=8691766","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:55:23Z","timestamp":1651071323000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8691766\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":68,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tfuzz.2019.2911494","relation":{},"ISSN":["1063-6706","1941-0034"],"issn-type":[{"value":"1063-6706","type":"print"},{"value":"1941-0034","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7]]}}}