| 面向多输出系统的启发式支持向量机回归 |
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| 引用本文： | 廖龙飞,王晶. 面向多输出系统的启发式支持向量机回归[J]. 北京化工大学学报(自然科学版), 2011, 38(2): 118-123 |
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| 作者姓名： | 廖龙飞 王晶 |
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| 作者单位： | 北京化工大学,信息科学与技术学院,北京,100029;北京化工大学,信息科学与技术学院,北京,100029 |
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| 摘 要： | 针对面向多输出系统支持向量机回归算法训练时间较长的问题，提出一种面向多输出系统的启发式支持向量机回归算法。与多输出的支持向量机回归建模相比，该方法建立的模型结构较为简单，模型训练速度更快。将此方法和直接支持向量机回归算法分别应用到甲基丙烯酸甲酯的间歇聚合反应过程中，仿真结果表明了该方法的有效性。
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| 关 键 词： | 启发式训练 支持向量机 多输出非线性回归 |
| 收稿时间： | 2010-08-30 |
A heuristic support vector regression algorithm for multi-output systems |
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| LIAO LongFei WANG Jing. A heuristic support vector regression algorithm for multi-output systems[J]. Journal of Beijing University of Chemical Technology, 2011, 38(2): 118-123 |
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| Authors: | LIAO LongFei WANG Jing |
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| Affiliation: | College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China |
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| Abstract: | Since training of the support vector regression algorithm for multi-output systems takes a long time,we have proposed a heuristic support vector regression algorithm for multi-output systems.Compared to regressive modeling of the multi-output support vector,the model created by our method is simpler with faster model training.The effectiveness of the new method was validated by simulation results when applied to the batch polymerization reaction process for methyl methacrylate.The new model was compared wit... |
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| Keywords: | heuristic training support vector machine multi-output nonlinear regression |
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