Research on Online Rapid Sorting Method of Waste Textiles Based on Near-Infrared Spectroscopy and Generative Adversity Network

In this paper, aiming at the application of online rapid sorting of waste textiles, a large number of effective high-content blending data are generated by using generative adversity network to deeply mine the combination relationship of blending spectra, and A BEGAN-RBF-SVM classification model is...

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Detalles Bibliográficos
Autores principales: Hu, Jinquan, Yang, Huihua, Zhao, Guoliang, Zhou, Ruizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124101/
https://www.ncbi.nlm.nih.gov/pubmed/35607473
http://dx.doi.org/10.1155/2022/6215101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124101/
https://www.ncbi.nlm.nih.gov/pubmed/35607473
http://dx.doi.org/10.1155/2022/6215101

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