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The Novel Sensor Network Structure for Classification Processing Based on the Machine Learning Method of the ACGAN
To address the problem of unstable training and poor accuracy in image classification algorithms based on generative adversarial networks (GAN), a novel sensor network structure for classification processing using auxiliary classifier generative adversarial networks (ACGAN) is proposed in this paper...
Autores principales: | Chen, Yuantao, Tao, Jiajun, Wang, Jin, Chen, Xi, Xie, Jingbo, Xiong, Jie, Yang, Kai |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679324/ https://www.ncbi.nlm.nih.gov/pubmed/31319556 http://dx.doi.org/10.3390/s19143145 |
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Retraction: Chen, Y.; Tao, J.; Wang, J.; Chen, X.; Xie, J.; Xiong, J.; Yang, K. The Novel Sensor Network Structure for Classification Processing Based on the Machine Learning Method of the ACGAN. Sensors 2019, 19, 3145
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