Application of Artificial Neural Network for Wheat Type Classification: A Novel Artificial Intelligence Training Software
Abstract
In this study, a training software with a visual interface was developed by using C# programming language in .NET platform for the purpose of using it in artificial neural networks’ training. The created artificial neural network classification software was applied on wheat type classification case study and successful results were achieved. Additionally, the importance of artificial neural networks was mentioned in the study. Backpropagation algorithm was utilized in wheat type classification case and in the developed software in order to eliminate the difficulty and complexity of the use of current software in an artificial neural network training process. Additionally, the developed software was designed in flexible and convenient structure as to be used in the applications which could be solved with artificial neural networks and other all kinds of studies.
Keywords
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Bilgisayar Yazılımı , Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Müslüm Öztürk
KİLİS 7 ARALIK ÜNİVERSİTESİ
Türkiye
Turan Paksoy
SELÇUK ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ENDÜSTRİ MÜHENDİSLİĞİ BÖLÜMÜ
Türkiye
Yayımlanma Tarihi
23 Ekim 2018
Gönderilme Tarihi
4 Ağustos 2017
Kabul Tarihi
26 Eylül 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 21 Sayı: 3
Cited By
DERİN ÖĞRENME YÖNTEMİ İLE BİTKİ YAPRAĞI HASTALIK SINIFLANDIRMA ÇALIŞMASI PERFORMANS ANALİZİ
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
https://doi.org/10.17780/ksujes.1096541