Research on coal-gangue identification technology driven by multi-source fusion of image features and vibration spectrum
To address the challenges of feature fusion, real-time performance, and model complexity in the application of image and vibration signal fusion for coal-gangue identification, a multi-head attention (MA)-based multi-layer long short-term memory (ML-LSTM) model, i.e., MA-ML-LSTM, was proposed. The v...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2024-11-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024080081 |
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