Determining the carrot volume via radius and length using ANN
dc.contributor.author | Örnek, Mustafa Nevzat | |
dc.contributor.author | Kahramanlı, Humar | |
dc.date.accessioned | 2020-03-26T19:45:20Z | |
dc.date.available | 2020-03-26T19:45:20Z | |
dc.date.issued | 2018 | |
dc.department | Selçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.description.abstract | In this study a total of 464 carrots were taken from Kaşınhanı, where the most carrots in Turkey are produced. The radiuses with an interval of 5 cm, length and volume of each carrot were measured and recorded. Three different Artificial Neural Network models: BP, LM and PUNN were designed for predicting the carrot volume. To assess the success of the system, statistical measures such as Root Mean Squared Error, Mean Absolute Error and R2 were used. The results showed that all three methods are successful in this problem, while LM and PUNN seems bit better. | en_US |
dc.identifier.citation | Örnek, M. N., Kahramanlı, H. (2018). Determining the Carrot Volume Via Radius and Length Using ANN. International Journal of Intelligent Systems and Applications in Engineering, 6(2), 165-169. | |
dc.identifier.endpage | 169 | en_US |
dc.identifier.issn | 2147-6799 | en_US |
dc.identifier.issn | 2147-6799 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 165 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/36024 | |
dc.identifier.volume | 6 | en_US |
dc.indekslendigikaynak | TR-Dizin | en_US |
dc.institutionauthor | Örnek, Mustafa Nevzat | |
dc.institutionauthor | Kahramanlı, Humar | |
dc.language.iso | en | en_US |
dc.relation.ispartof | International Journal of Intelligent Systems and Applications in Engineering | en_US |
dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Bilgisayar Bilimleri | en_US |
dc.subject | Yapay Zeka | en_US |
dc.title | Determining the carrot volume via radius and length using ANN | en_US |
dc.type | Article | en_US |
dcterms.subject | carrots physical properties |
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