Definition of artificial neural networks with comparison to other networks

dc.authorid Kayakutlu, Gulgun/0000-0001-8548-6377
dc.authorscopusid 24922866200
dc.authorscopusid 15765186400
dc.authorwosid Kayakutlu, Gulgun/E-1168-2014
dc.contributor.author Guresen, Erkam
dc.contributor.author Kayakutlu, Gulgun
dc.date.accessioned 2024-05-25T11:23:03Z
dc.date.available 2024-05-25T11:23:03Z
dc.date.issued 2011
dc.department Okan University en_US
dc.department-temp [Guresen, Erkam] Okan Univ, Dept Business Adm, TR-34959 Istanbul, Turkey; [Kayakutlu, Gulgun] Istanbul Tech Univ, Dept Ind Engn, TK-34367 Istanbul, Turkey en_US
dc.description Kayakutlu, Gulgun/0000-0001-8548-6377 en_US
dc.description.abstract Definition of Artificial Neural Networks (ANNs) is made by computer scientists, artificial intelligence experts and mathematicians in various dimensions. Many of the definitions explain ANN by referring to graphics instead of giving well explained mathematical definitions; therefore, misleading weighted graphs (as in minimum cost flow problem networks) fit the definition of ANN. This study aims to give a clear definition that will differentiate ANN and graphical networks by referring to biological neural networks. The proposed definition of ANN is a mathematical definition, from the point of graph theory which defines ANN as a directed graph. Then differences between ANNs and other networks will be explained by examples using proposed definition. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor. en_US
dc.identifier.citationcount 50
dc.identifier.doi 10.1016/j.procs.2010.12.071
dc.identifier.issn 1877-0509
dc.identifier.scopus 2-s2.0-79952525580
dc.identifier.scopusquality Q2
dc.identifier.uri https://doi.org/10.1016/j.procs.2010.12.071
dc.identifier.uri https://hdl.handle.net/20.500.14517/669
dc.identifier.volume 3 en_US
dc.identifier.wos WOS:000299159800069
dc.language.iso en
dc.publisher Elsevier Science Bv en_US
dc.relation.ispartof 1st World Conference on Information Technology (WCIT) -- OCT 06-10, 2010 -- Bahcesehir Univ, Istanbul, TURKEY en_US
dc.relation.ispartofseries Procedia Computer Science
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 80
dc.subject Artificial Neural Network (ANN) en_US
dc.subject graph theory en_US
dc.title Definition of artificial neural networks with comparison to other networks en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 53

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