Prediction of uncertainties of gas emission quantity based on RVM
In order to evaluate uncertainties of prediction results of gas emission, an estimation approach based on relevant vector machine was proposed. The sparse relevant support vector and its corresponding hyper parameters were calculated on sample space of gas emission by sparse Bayesian learning model....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2015-08-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.08.013 |