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FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction
Coal burst prediction is an important research hotspot in coal mine production safety. This paper presents FDNet, which is a knowledge and data fusion-driven deep neural network for coal burst prediction. The main idea of FDNet is to extract explicit features based on the existing mine seismic physi...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2022-04-01
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| Reeks: | Sensors |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/1424-8220/22/8/3088 |
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