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| 基于鲁棒最小二乘支持向量机的聚丙烯熔融指数预报 | |
| 引用本文： | 邬正义 施健. 基于鲁棒最小二乘支持向量机的聚丙烯熔融指数预报[J]. 华东理工大学学报(自然科学版), 2006, 32(7): 889-892 |
| 作者姓名： | 邬正义 施健 |
| 作者单位： | 常熟理工学院信息与控制工程系 常熟215500 |
| 摘 要： | 可靠地预报熔融指数在聚丙烯生产过程中至关重要。在最小二乘支持向量机采用的误差平方和惩罚函数可能会导致不稳健的预报值基础上,进一步提出了基于鲁棒最小二乘支持向量机的聚丙烯熔融指数软测量模型。工业实例研究表明该方法拟合精度高、泛化能力强,具有广阔的应用前景。 |
| 关 键 词： | 聚丙烯 熔融指数 支持向量机 权重因子 |
| 文章编号： | 1006-3080（2006）07-0889-04 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006-02-20 |
Melt Index Prediction of Polypropylene Based on Weighted Least Squares Support Vector Machines |
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| WU Zheng-yi, SHI Jian. Melt Index Prediction of Polypropylene Based on Weighted Least Squares Support Vector Machines[J]. Journal of East China University of Science and Technology, 2006, 32(7): 889-892 | |
| Authors: | WU Zheng-yi SHI Jian |
| Abstract: | Reliable estimation of melt index(MI) is crucial for the production of polypropylene.Considering the use of a SSE cost function without regularization,as in the case with LS-SVM,might lead to less robust estimates,the weighted LS-SVM soft-sensor model of propylene polymerization process is further presented.The research results show that the proposed method provides promising prediction reliability and accuracy.This method is supposed to have extensive application prospect in propylene polymerization processes. |
| Keywords: | polypropylene melt index support vector machines weighting factor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |