Clothing image classification algorithm based on convolutional neural network and optimized regularized extreme learning machine

This paper proposes a new method that uses Alexnet with ImageNet transfer learning as the feature extractor and optimized and regularized extreme learning as the classifier. We keep the first five convolutional layers and the first two fully connected layers of Alexnet, and then train the network. T...

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Vydané v:	Textile research journal Ročník 92; číslo 23-24; s. 5106 - 5124
Hlavní autori:	Zhou, Zhiyu, Liu, Mingxuan, Deng, Wenxiong, Wang, Yaming, Zhu, Zefei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London, England SAGE Publications 01.12.2022 Sage Publications Ltd
Predmet:	Algorithms Artificial neural networks Classification data collection fabrics Feature extraction image analysis Image classification Learning algorithms Machine learning Neural networks Optimization Regularization Runge-Kutta method Transfer learning Runge Kutta optimization algorithm Clothing image classification convolutional neural network regularized extreme learning machine
ISSN:	0040-5175, 1746-7748, 1746-7748
On-line prístup:	Získať plný text
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