Research on Online Rapid Sorting Method of Waste Textiles Based on Near-Infrared Spectroscopy and Generative Adversity Network
Open Access
- 14 May 2022
- journal article
- retracted article
- Published by Hindawi Limited in Computational Intelligence and Neuroscience
- Vol. 2022, 1-8
- https://doi.org/10.1155/2022/6215101
Abstract
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 constructed by compensating the imbalance of negative samples in the data set. Various experiments show that the model can effectively extract the spectrum of pure textile samples. The classification model has high robustness and high speed, reaches the performance of similar products in the world, and has a broad application market.Keywords
Funding Information
- National Basic Research Program of China (2018AAA0102600)
This publication has 12 references indexed in Scilit:
- Application of Research and Development of Intelligent Wall Insulation Materials Based on Recycling of Waste Textiles in Civil Engineering Health MonitoringAdvances in Civil Engineering, 2021
- Document Image Binarization Using Dual Discriminator Generative Adversarial NetworksIEEE Signal Processing Letters, 2020
- Feature-Improving Generative Adversarial Network for Face FrontalizationIEEE Access, 2020
- Rapid identification of plant- and chemical-dyed cotton fabrics using the near-infrared techniqueTextile Research Journal, 2020
- Attentively Conditioned Generative Adversarial Network for Semantic SegmentationIEEE Access, 2020
- GANE: A Generative Adversarial Network EmbeddingIEEE Transactions on Neural Networks and Learning Systems, 2019
- Controllable Generative Adversarial NetworkIEEE Access, 2019
- Evolutionary Generative Adversarial NetworksIEEE Transactions on Evolutionary Computation, 2019
- Orthogonal design-guided preparation of multi-level porous-activated carbon by pyrolysis of waste polyester textilesEnvironmental Science and Pollution Research, 2018
- Identifying potential environmental impacts of waste handling strategies in textile industryEnvironmental Monitoring and Assessment, 2016