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Research on the Guidance of Youth Labor Education Based on the "combination of Education and Production Labor" Program Based on the Deep Learning Model

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成果类型:
期刊论文
作者:
Xiao, Linyu;Liao, Xiaoyi
通讯作者:
Liao, Xiaoyi(liaoxiaoyi@hunau.edu.cn)
作者机构:
[Xiao, Linyu] Hunan Agr Univ, Inst Marxism, Changsha 410128, Hunan, Peoples R China.
[Liao, Xiaoyi] Hunan Agr Univ, Coll Hort, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Liao, X.] H
Hunan Agricultural University, Hunan, China
语种:
英文
期刊:
Computational Intelligence and Neuroscience
ISSN:
1687-5265
年:
2022
卷:
2022
基金类别:
Research Project of Ideological and Political Work in Colleges and Universities in Hunan Province; [19D08]
机构署名:
本校为第一机构
院系归属:
园艺园林学院
摘要:
At present, there is a lack of research on Marx's idea of "combining education and productive labor"and its guiding significance for youth labor education, and no effective teaching model has been formed. In response to this problem, this study proposes a semi-supervised deep learning model based on u-wordMixup (SD-uwM). When there is a shortage of labeled samples, semi-supervised learning uses a large number of unlabeled samples to solve the problem of labeling bottlenecks. However, since the unlabeled samples and labeled samples come from dif...

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