Artificial Neural Networks; Definition, Properties and Misuses

dc.authorscopusid 24922866200
dc.authorscopusid 15765186400
dc.contributor.author Guresen, E.
dc.contributor.author Kayakutlu, G.
dc.date.accessioned 2024-10-15T20:23:23Z
dc.date.available 2024-10-15T20:23:23Z
dc.date.issued 2021
dc.department Okan University en_US
dc.department-temp Guresen E., Okan University, Department of Business Administration, Turkey; Kayakutlu G., Istanbul Technical University, Department of Industrial Engineering, Turkey en_US
dc.description.abstract There are no such clear and good definitions of ANNs in the literature. Many of the definitions refer to the figures instead of well explaining the ANNs. That is why many weighted graphs (as in shortest path problem networks) fit the definition of ANN. This study aims to give a clear definition that will differentiate ANN and graphs (or networks) by referring to biological neural networks. Although there is no input choice limitation or prior assumption in ANN, sometimes researchers compare ANN achievements with the results of other methods using different input data and make comments on these results. This study also gives examples from literature to misuses, unfair comparisons and evaluates the underlying reasons which will guide researchers. © 2011 by Nova Science Publishers, Inc. en_US
dc.identifier.citation 0
dc.identifier.citationcount 0
dc.identifier.endpage 189 en_US
dc.identifier.isbn 9781619421004
dc.identifier.scopus 2-s2.0-85108932784
dc.identifier.scopusquality N/A
dc.identifier.startpage 171 en_US
dc.identifier.wosquality N/A
dc.language.iso en
dc.language.iso en en_US
dc.publisher Nova Science Publishers, Inc. en_US
dc.relation.ispartof Focus on Artificial Neural Networks en_US
dc.relation.publicationcategory Kitap Bölümü - Uluslararası en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.title Artificial Neural Networks; Definition, Properties and Misuses en_US
dc.type Book Part en_US
dspace.entity.type Publication

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