| 最小二乘支持向量机模型的简化结构研究 |
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| 引用本文： | 于洋,张涛,赵文杰. 最小二乘支持向量机模型的简化结构研究[J]. 仪器仪表用户, 2012, 19(4): 59-61 |
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| 作者姓名： | 于洋 张涛 赵文杰 |
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| 作者单位： | 1. 大同第二发电厂 大同037043
2. 华北电力大学自动化系,保定,071003 |
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| 摘 要： | 针对LS-SVM模型复杂度高的问题．本文提出了一种简化模型的思路。在保证LS-SVM模型性能不变的前提下，通过该模型的少量输入输出样本，利用LS-SVM建模进一步拟合该模型。使得到的新模型的复杂度降低。仿真试验表明。本文给出的模型简化方法是有效的。
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| 关 键 词： | 最小二乘支持向量机 模型复杂度 简化 |
Research on simplified model based on least square support vector machine model |
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| YU Yang , ZHANG Tao , ZHAO Wen-jie. Research on simplified model based on least square support vector machine model[J]. Electronic Instrumentation Customer, 2012, 19(4): 59-61 |
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| Authors: | YU Yang ZHANG Tao ZHAO Wen-jie |
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| Affiliation: | 1.The Second Power Station of Datong,Shanxi Datong 037043,China;2.Department of Automation, North China Electric Power University,Baoding 071003,China) |
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| Abstract: | For the complexity of Least Square Support Vector Machine(LS-SVM) model is high,a method that can simplify the LS-SVM model is proposed in this paper.Under the premise that the accuracy of LS-SVM model is unchanged,a small amount of training samples of this model are choosen,which further fit this model by LS-SVM modeling,so as to make the new model with low complexity.Simulation experiment shows that the method proposed in this paper is completely feasible. |
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| Keywords: | support vector machines least square support vector machine complexity of model simplify |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
