Classification Algorithm and Application Based on Semi-Supervised Deep Auto-Encoder Network

In industrial classification prediction, labeled data are scarce, and labeling is expensive, leading to inaccurate model predictions. Simultaneously, features in most unlabeled data are not effectively used, resulting in insufficient generalization of the model. To solve this problem, this study pro...

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Autor Principal:	ZHANG Xinbo, ZHANG Xueying, HUANG Lixia, CHEN Guijun
Formato:	Artigo
Idioma:	Inglês
Publicado:	Editorial Office of Computer Engineering 2025-01-01
Series:	Jisuanji gongcheng
Assuntos:	semi-supervised learning|denoising auto-encoder(dae)|sparse auto-encoder(sae)|feature extraction|classification prediction
Acceso en liña:	https://www.ecice06.com/fileup/1000-3428/PDF/20250108.pdf
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