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Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals
This study compared popular Deep Learning (DL) architectures to classify machining surface roughness using sound and force data. The DL architectures considered in this study include Multi-Layer Perceptron (MLP), Convolution Neural Network (CNN), Long Short-Term Memory (LSTM), and transformer. The c...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706467/ https://www.ncbi.nlm.nih.gov/pubmed/34945334 http://dx.doi.org/10.3390/mi12121484 |