Convolutional Neural Network Performance and the Factors Affecting Performance for Classification of Seven Quercus Species using Sclereid Characteristics in the Bark

Based on the sclereids in the bark of oak species, a convolutional neural network (CNN) was employed to validate species classification performance and its influencing factors. Three optimizers including stochastic gradient descent (SGD), adaptive moment estimation (Adam), root mean square propagati...

Ful tanımlama

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Jong Ho Kim, Byantara Darsan Purusatama, Alvin Muhammad Savero, Denni Prasetia, Jae Hyuk Jang, Se Yeong Park, Seung Hwan Lee, Nam Hun Kim
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	North Carolina State University 2023-12-01
Seri Bilgileri:	BioResources
Konular:	bark convolutional neural networks (cnns) oak sclereids species classification
Online Erişim:	https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22966
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Convolutional Neural Network Performance and the Factors Affecting Performance for Classification of Seven Quercus Species using Sclereid Characteristics in the Bark

Benzer Materyaller