Prediction method of coal spontaneous combustion based on relevance vector machine
In terms of coal spontaneous combustion degree prediction, the radial basis function (RBF) neural network method is complex in structure and easy to fall into local optimum, the kernel function based on support vector machine (SVM) is sensitive to parameters due to Mercer condition, the traditional...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Chinês |
| Udgivet: |
Editorial Department of Industry and Mine Automation
2020-08-01
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| Serier: | Gong-kuang zidonghua |
| Fag: | |
| Online adgang: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17578 |
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