工程科学学报 Chinese Journal of Engineering 基于支持向量回归与极限学习机的高炉铁水温度预测 王振阳江德文王新东张建良刘征建赵宝军 Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine WANG Zhen-yang.JIANG De-wen,WANG Xin-dong.ZHANG Jian-liang.LIU Zheng-jian,ZHAO Bao-jun 引用本文： 王振阳，江德文，王新东，张建良，刘征建，赵宝军.基于支持向量回归与极限学习机的高炉铁水温度预测工程科学学报， 2021,43(4:569-576.doi:10.13374.issn2095-9389.2020.05.28.001 WANG Zhen-yang,JIANG De-wen,WANG Xin-dong,ZHANG Jian-liang.LIU Zheng-jian,ZHAO Bao-jun.Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine [Chinese Journal of Engineering, 2021,43(4:569-576.doi:10.13374f.issn2095-9389.2020.05.28.001 在线阅读View online::https:/doi.org/10.13374.issn2095-9389.2020.05.28.001 您可能感兴趣的其他文章 Articles you may be interested in 基于极限学习机ELMD的连铸坯质量预测 Quality prediction of the continuous casting bloom based on the extreme learning machine 工程科学学报.2018,40(7)：815 https:1doi.org/10.13374j.issn2095-9389.2018.07.007 基于改进的支持向量回归机算法的磁记忆定量化缺陷反演 Metal magnetic memory quantitative inversion of defects based onoptimized support vector machine regression 工程科学学报.2018,40(9%：1123 https:1doi.org/10.13374.issn2095-9389.2018.09.014 函数型数据分析与优化极限学习机结合的弹药传输机械臂参数辨识 Parameter identification of a shell transfer arm using FDA and optimized ELM 工程科学学报.2017,394：611htps:/doi.org10.13374 /j.issn2095-9389.2017.04.017 基于机器学习的北京市PM2.5浓度预测模型及模拟分析 Machine-learning-based model and simulation analysis of PM2.5 concentration prediction in Beijing 工程科学学报.2019,41(3：401 https:/1doi.org10.13374j.issn2095-9389.2019.03.014 基于多目标支持向量机的ADHD分类 ADHD classification based on a multi-objective support vector machine 工程科学学报.2020,42(4：441htps:/oi.org10.13374.issn2095-9389.2019.09.12.007 多模态学习方法综述 A survey of multimodal machine learning 工程科学学报.2020,42(5：557 https:/doi.org10.13374j.issn2095-9389.2019.03.21.003基于支持向量回归与极限学习机的高炉铁水温度预测 王振阳 江德文 王新东 张建良 刘征建 赵宝军 Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine WANG Zhen-yang, JIANG De-wen, WANG Xin-dong, ZHANG Jian-liang, LIU Zheng-jian, ZHAO Bao-jun 引用本文: 王振阳, 江德文, 王新东, 张建良, 刘征建, 赵宝军. 基于支持向量回归与极限学习机的高炉铁水温度预测[J]. 工程科学学报, 2021, 43(4): 569-576. doi: 10.13374/j.issn2095-9389.2020.05.28.001 WANG Zhen-yang, JIANG De-wen, WANG Xin-dong, ZHANG Jian-liang, LIU Zheng-jian, ZHAO Bao-jun. Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine [J]. Chinese Journal of Engineering, 2021, 43(4): 569-576. doi: 10.13374/j.issn2095-9389.2020.05.28.001 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2020.05.28.001 您可能感兴趣的其他文章 Articles you may be interested in 基于极限学习机(ELM)的连铸坯质量预测 Quality prediction of the continuous casting bloom based on the extreme learning machine 工程科学学报. 2018, 40(7): 815 https://doi.org/10.13374/j.issn2095-9389.2018.07.007 基于改进的支持向量回归机算法的磁记忆定量化缺陷反演 Metal magnetic memory quantitative inversion of defects based onoptimized support vector machine regression 工程科学学报. 2018, 40(9): 1123 https://doi.org/10.13374/j.issn2095-9389.2018.09.014 函数型数据分析与优化极限学习机结合的弹药传输机械臂参数辨识 Parameter identification of a shell transfer arm using FDA and optimized ELM 工程科学学报. 2017, 39(4): 611 https://doi.org/10.13374/j.issn2095-9389.2017.04.017 基于机器学习的北京市PM2.5浓度预测模型及模拟分析 Machine-learning-based model and simulation analysis of PM2.5 concentration prediction in Beijing 工程科学学报. 2019, 41(3): 401 https://doi.org/10.13374/j.issn2095-9389.2019.03.014 基于多目标支持向量机的ADHD分类 ADHD classification based on a multi-objective support vector machine 工程科学学报. 2020, 42(4): 441 https://doi.org/10.13374/j.issn2095-9389.2019.09.12.007 多模态学习方法综述 A survey of multimodal machine learning 工程科学学报. 2020, 42(5): 557 https://doi.org/10.13374/j.issn2095-9389.2019.03.21.003