Industrial Gas Process Analysis
碩士 === 國立高雄大學 === 統計學研究所 === 106 === This study combines tree-based model algorithms, multivariate logistic regression, and boosting algorithms in ensemble learning to model and predict industrial gas processes. The established model is used to determine the key steps affecting the yield in industri...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/u6ggdy |
| Summary: | 碩士 === 國立高雄大學 === 統計學研究所 === 106 === This study combines tree-based model algorithms, multivariate logistic regression, and boosting algorithms in ensemble learning to model and predict industrial gas processes. The established model is used to determine the key steps affecting the yield in industrial gas processes. Accordingly, abnormal products can be detected timely and thus be removed from the processes to reduce production operation cost and improve process quality.
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