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dc.contributor.authorKaya, Seyit
dc.contributor.authorKaraman, Emin
dc.contributor.authorKarapinar, Hatem
dc.contributor.authorGuven, Elcin
dc.contributor.authorStaub, Selva
dc.date.accessioned2021-03-04T13:21:23Z
dc.date.available2021-03-04T13:21:23Z
dc.identifier.citationStaub S., Karaman E., Kaya S., Karapinar H., Guven E., "Artificial Neural Network and Agility", World Conference on Technology, Innovation and Entrepreneurship, İstanbul, Türkiye, 28 - 30 Mayıs 2015, ss.1477-1485
dc.identifier.othervv_1032021
dc.identifier.otherav_7c01baf1-8b70-4123-b2b5-60959ab8bebe
dc.identifier.urihttp://hdl.handle.net/20.500.12627/84824
dc.identifier.urihttps://doi.org/10.1016/j.sbspro.2015.06.448
dc.description.abstractData collection and analysis are now part and parcel of virtually all research carried out in economics, politics, technology and medicine. As operations and calculations improve in line with emerging technologies, it is now possible to carry out forward mathematical modelling based on basic criteria by utilizing such technologies. "Artificial Neural Networks and Agility" is a significant area of application making this modelling a viable reality. As artificial neural networks model the human brain, they are capable of providing reasonable solutions quickly for problems which cannot be solved by classical programming. Therefore, their use is widespread and has achieved successful results. This study examines artificial intelligence, artificial intelligence techniques, artificial neural networks, as well as their basic structure and agility. (C) 2015 The Authors. Published by Elsevier Ltd.
dc.language.isoeng
dc.subjectİşletme
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectSosyal Bilimler (SOC)
dc.subjectEkonomi ve İş
dc.subjectİŞ
dc.titleArtificial Neural Network and Agility
dc.typeBildiri
dc.contributor.departmentHaliç Üniversitesi , ,
dc.contributor.firstauthorID145872


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