{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:47:04Z","timestamp":1777704424985,"version":"3.51.4"},"reference-count":24,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology"],"published-print":{"date-parts":[[2020,11,19]]},"DOI":"10.3233\/jifs-189112","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T19:40:48Z","timestamp":1746214848000},"page":"6487-6496","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["A new fuzzy cluster-aware regularization of neural networks"],"prefix":"10.1177","volume":"39","author":[{"given":"Tolga Ahmet","family":"Kalayc\u0131","sequence":"first","affiliation":[{"name":"Istanbul Technical University, Department of Industrial Engineering, Ma\u00e7ka, \u0130stanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Umut","family":"Asan","sequence":"additional","affiliation":[{"name":"Istanbul Technical University, Department of Industrial Engineering, Ma\u00e7ka, \u0130stanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,8,6]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.annals.2016.03.007"},{"issue":"2","key":"e_1_3_1_3_2","first-page":"191","article-title":"FCM: The fuzzy c-means clustering algorithm","volume":"10","author":"Bezdek J.C.","year":"1984","unstructured":"BezdekJ.C., EhrlichR., FullW., FCM: The fuzzy c-means clustering algorithm, Computers &Geo-sciences 10(2-3) (1984), 191\u2013203.","journal-title":"Computers &Geo-sciences"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.08.025"},{"key":"e_1_3_1_5_2","first-page":"210","article-title":"Combining classification and clustering for tweet sentiment analysis","author":"Coletta L.F.S.","year":"2014","unstructured":"ColettaL.F.S., da SilvaN.F.F., HruschkaE.R. and HruschkaE.R., Combining classification and clustering for tweet sentiment analysis, Brazilian Conference on Intelligent Systems (2014), pp. 210\u2013215. IEEE.","journal-title":"Brazilian Conference on Intelligent Systems"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.05.004"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2012.05.026"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.04.080"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.020"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2019.05.073"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.12.014"},{"key":"e_1_3_1_12_2","article-title":"Improving Neural Networks by Preventing Co-adaptation of Feature Detectors,abs\/","author":"Hinton G.E.","year":"2012","unstructured":"HintonG.E., SrivastavaN., KrizhevskyA., SutskeverI., SalakhutdinovR.R., Improving Neural Networks by Preventing Co-adaptation of Feature Detectors,abs\/, arXiv:1207.0580v1 [cs.NE] 2012.","journal-title":"arXiv:1207.0580v1 [cs.NE]"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.04.006"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.09.011"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1108\/09590550710750377"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1108\/07363760310464604"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.09.009"},{"key":"e_1_3_1_18_2","first-page":"102","article-title":"DropWeak: A novel regularization method of neural networks","author":"Korchi A.E.","year":"2018","unstructured":"KorchiA.E., GhanouY., DropWeak: A novel regularization method of neural networks, In: The First International Conference On Intelligent Comuting in Data Sciences, (2018). pp. 102\u2013108. Procedia Computer Science.","journal-title":"The First International Conference On Intelligent Comuting in Data Sciences"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.06.046"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.08.005"},{"key":"e_1_3_1_21_2","first-page":"2280","article-title":"The Classification of Internet Shop Customers based on the Cluster Analysis and Graph Cellular Automata","author":"Malecki K.","year":"2017","unstructured":"MaleckiK., WatrobskiJ., The Classification of Internet Shop Customers based on the Cluster Analysis and Graph Cellular Automata, in: International Conference on Knowledge Based and Intelligent Information and Engineering Systems, (2017), pp. 2280\u20132289. Procedia Computer Science, Marseille, France.","journal-title":"International Conference on Knowledge Based and Intelligent Information and Engineering Systems"},{"key":"e_1_3_1_22_2","unstructured":"NgA. Machine Learning Yearning deeplearning ai (2018) pp. 22\u201324."},{"key":"e_1_3_1_23_2","unstructured":"NielsenM.A. Neural Networks and Deep Learning Determination Press (2015)."},{"key":"e_1_3_1_24_2","first-page":"263","article-title":"Clustering analysis for semi-supervised learning improves classification performance of digital pathology","author":"Peikari M.","year":"2015","unstructured":"PeikariM., ZubovitsJ., ClarkeG., MartelA.L., Clustering analysis for semi-supervised learning improves classification performance of digital pathology, In: International Workshoon Machine Learning in Medical Imaging, (2015), pp. 263\u2013270. Springer, Cham.","journal-title":"International Workshoon Machine Learning in Medical Imaging"},{"issue":"1","key":"e_1_3_1_25_2","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava N.","year":"2014","unstructured":"SrivastavaN., HintonG.E., KrizhevskyA., SutskeverI., SalakhutdinovR., Dropout: a simple way to prevent neural networks from overfitting, Journal of Machine Learning Research (JMLR) 15(1) (2014), 1929\u20131958.","journal-title":"Journal of Machine Learning Research (JMLR)"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189112","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-189112","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189112","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:41:11Z","timestamp":1777455671000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-189112"}},"subtitle":[],"editor":[{"given":"Cengiz","family":"Kahraman","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2020,8,6]]},"references-count":24,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,11,19]]}},"alternative-id":["10.3233\/JIFS-189112"],"URL":"https:\/\/doi.org\/10.3233\/jifs-189112","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,6]]}}}