The Analysis of the Thickness-predictive Model Based on the SVM
| Autor: | Zhimin Bi, Yan Wang, Xiu-ming Zhao |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
010504 meteorology & atmospheric sciences business.industry 0208 environmental biotechnology Pattern recognition 02 engineering and technology computer.software_genre 01 natural sciences 020801 environmental engineering Support vector machine Svm regression Matlab simulation Artificial intelligence Data mining business computer 0105 earth and related environmental sciences |
| Zdroj: | Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering. |
| DOI: | 10.2991/nceece-15.2016.170 |
| Popis: | This paper presents a method which improves the thickness of the prediction model. At the same time, it builds up a SVM prediction model based on MATLAB simulation experiment. By comparing the simulation curves of the mechanism model and SVM regression prediction, it apparently can be seen that thickness-output precision effectively improved, which is good to on-line identification of the thickness control. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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