NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values
Hot-rolled strip steel is an essential material extensively used in various industrial fields, with its mechanical properties being critical to product quality and engineering design. This article presents a method for predicting the mechanical properties of hot-rolled strip steel using the NGBoost...
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| Format: | Article |
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AIMS Press
2024-11-01
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| Series: | AIMS Mathematics |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20241578?viewType=HTML |
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| author | Hongyi Wu Jinwen Jin Zhiwei Li |
| author_facet | Hongyi Wu Jinwen Jin Zhiwei Li |
| author_sort | Hongyi Wu |
| collection | DOAJ |
| description | Hot-rolled strip steel is an essential material extensively used in various industrial fields, with its mechanical properties being critical to product quality and engineering design. This article presents a method for predicting the mechanical properties of hot-rolled strip steel using the NGBoost (natural gradient boosting) algorithm. The study focused on predicting tensile strength, yield strength, and elongation of hot-rolled strip steel and compared the predictive results with those obtained from the gradient boosting algorithm, Lasso regression, and decision tree algorithms. The results indicated that the NGBoost algorithm performs well on average coverage error (ACE) and prediction interval absolute width (PIAW) values at different confidence levels, demonstrating strong predictive performance. Furthermore, the analysis of variance (ANOVA) method was employed to identify factors that significantly impact mechanical performance, providing theoretical support for optimizing design schemes and enhancing structural safety and reliability. |
| format | Article |
| id | doaj-art-77afb86c37ab4234a934d65dd565355b |
| institution | Kabale University |
| issn | 2473-6988 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Mathematics |
| spelling | doaj-art-77afb86c37ab4234a934d65dd565355b2024-12-03T01:22:31ZengAIMS PressAIMS Mathematics2473-69882024-11-01911330003302210.3934/math.20241578NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA valuesHongyi Wu0Jinwen Jin 1Zhiwei Li2Institute of New Iron and Steel Materials, Ningbo Iron & Steel Co., Ltd, Zhejiang, 315800, ChinaInstitute of New Iron and Steel Materials, Ningbo Iron & Steel Co., Ltd, Zhejiang, 315800, ChinaInstitute of New Iron and Steel Materials, Ningbo Iron & Steel Co., Ltd, Zhejiang, 315800, ChinaHot-rolled strip steel is an essential material extensively used in various industrial fields, with its mechanical properties being critical to product quality and engineering design. This article presents a method for predicting the mechanical properties of hot-rolled strip steel using the NGBoost (natural gradient boosting) algorithm. The study focused on predicting tensile strength, yield strength, and elongation of hot-rolled strip steel and compared the predictive results with those obtained from the gradient boosting algorithm, Lasso regression, and decision tree algorithms. The results indicated that the NGBoost algorithm performs well on average coverage error (ACE) and prediction interval absolute width (PIAW) values at different confidence levels, demonstrating strong predictive performance. Furthermore, the analysis of variance (ANOVA) method was employed to identify factors that significantly impact mechanical performance, providing theoretical support for optimizing design schemes and enhancing structural safety and reliability.https://www.aimspress.com/article/doi/10.3934/math.20241578?viewType=HTMLhot-rolled strip steelmechanical propertiesngboost algorithmanova value |
| spellingShingle | Hongyi Wu Jinwen Jin Zhiwei Li NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values AIMS Mathematics hot-rolled strip steel mechanical properties ngboost algorithm anova value |
| title | NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values |
| title_full | NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values |
| title_fullStr | NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values |
| title_full_unstemmed | NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values |
| title_short | NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values |
| title_sort | ngboost algorithm based prediction of mechanical properties of a hot rolled strip and its interpretability research with anova values |
| topic | hot-rolled strip steel mechanical properties ngboost algorithm anova value |
| url | https://www.aimspress.com/article/doi/10.3934/math.20241578?viewType=HTML |
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