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5. Performance Influencing Factors of Convolutional Neural Network Models for Classifying Certain Softwood Species.

Author

Kim, Jong-Ho, Purusatama, Byantara Darsan, Savero, Alvin Muhammad, Prasetia, Denni, Yang, Go-Un, Han, Song-Yi, Lee, Seung-Hwan, and Kim, Nam-Hun

Subjects
CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, SOFTWOOD, WOOD, SPECIES
Abstract

This study aims to verify the wood classification performance of convolutional neural networks (CNNs), such as VGG16, ResNet50, GoogLeNet, and basic CNN architectures, and to investigate the factors affecting classification performance. A dataset from 10 softwood species consisted of 200 cross-sectional micrographs each from the total part, earlywood, and latewood of each species. We used 80% and 20% of each dataset for training and testing, respectively. To improve the performance of the architectures, the dataset was augmented, and the differences in classification performance before and after augmentation were compared. The four architectures showed a high classification accuracy of over 90% between species, and the accuracy increased with increasing epochs. However, the starting points of the accuracy, loss, and training speed increments differed according to the architecture. The latewood dataset showed the highest accuracy. The epochs and augmented datasets also positively affected accuracy, whereas the total part and non-augmented datasets had a negative effect on accuracy. Additionally, the augmented dataset tended to derive stable results and reached a convergence point earlier. In the present study, an augmented latewood dataset was the most important factor affecting classification performance and should be used for training CNNs. [ABSTRACT FROM AUTHOR]

Published
2023
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7. Anatomical characteristics for identification and quality indices of four promising commercial bamboo species in Java, Indonesia

Author

Maulana, Muhammad Iqbal, primary, Jeon, Woo Seok, additional, Purusatama, Byantara Darsan, additional, Kim, Jong Ho, additional, Prasetia, Denni, additional, Yang, Go Un, additional, Savero, Alvin Muhammad, additional, Nawawi, Deded Sarip, additional, Nikmatin, Siti, additional, Sari, Rita Kartika, additional, Febrianto, Fauzi, additional, Lee, Seung Hwan, additional, and Kim, Nam Hun, additional

Published
2022
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