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...

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Detalhes bibliográficos

Principais autores:	Jong Ho Kim, Byantara Darsan Purusatama, Alvin Muhammad Savero, Denni Prasetia, Jae Hyuk Jang, Se Yeong Park, Seung Hwan Lee, Nam Hun Kim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	North Carolina State University 2023-12-01
coleção:	BioResources
Assuntos:	bark convolutional neural networks (cnns) oak sclereids species classification
Acesso em linha:	https://ojs.bioresources.com/index.php/BRJ/article/view/22966
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