Prediction of subsurface microcrack depth of brittle materials based on co-training SVR
In order to overcome the dilemma of insufficient effective sample number for subsurface microcrack depth in the lapping of brittle materials with fixed abrasives and achieve accurate prediction, a co-training SVR was used to construct the prediction model. The effects of different labeled training s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Zhengzhou Research Institute for Abrasives & Grinding Co., Ltd.
2023-12-01
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| Series: | Jin'gangshi yu moliao moju gongcheng |
| Subjects: | |
| Online Access: | http://www.jgszz.cn/article/doi/10.13394/j.cnki.jgszz.2023.0006 |