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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
In this study, CNN was designed for corner detection by applying Back-propagation Algorithm.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:Cellular Neural Network (CNN) is an analog parallel computing paradigm defined in space and characterized by the locality of connections between processing neurons.
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Temel Bulgular & Veri:The behaviour of the CNN is defined by two template matrices and a template vector.
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Sonuç & Katkı:In this study, CNN was designed for corner detection by applying Back-propagation Algorithm.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
Abstract
Cellular Neural Network (CNN) is an analog parallel computing paradigm defined in space and characterized by the locality of connections between processing neurons. The behaviour of the CNN is defined by two template matrices and a template vector. CNN is designed by optimizing these weight coefficient for different applications. In this study, CNN was designed for corner detection by applying Back-propagation Algorithm.
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Bu Makaleye Atıf Yap
UÇAN, O. N., BAL, A., MERCİMEK, M. (2022). Image future extraction using dynamic neural network. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 2 - Sayı: 2, 537–539. https://ajindex.com/articles/543923