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| 参数优化支持向量机的人参价格预测模型 | |
| 引用本文： | 马建华,张星奇,张辉. 参数优化支持向量机的人参价格预测模型[J]. 吉林大学学报(信息科学版), 2012, 30(2): 218-222. DOI: 10.3969/j.issn.1671-5896.2012.02.019 |
| 作者姓名： | 马建华 张星奇 张辉 |
| 作者单位： | 1.吉林铁路职业技术学院铁道工程系,吉林吉林,132002;2.吉林大学生命科学学院,长春,130012;3.吉林铁路职业技术学院电气工程系,吉林吉林,132002 |
| 摘 要： | 为了对人参价格进行预测,分析了影响人参价格因素,通过K-fold交叉验证方法,利用粒子群算法对支持向量机的惩罚参数c和ggamma值进行寻优,建立起2010年1月～2011年12月林下参的价格预测模型.利用粒子群算法优化惩罚参数c为3.6974,利用radial basis function核函数的SVM(Support Vector Machine)对预测集1的预测相关系数为97.316％. |
| 关 键 词： | 支持向量机 粒子群算法 人参价格 |
| 收稿时间： | 2011-10-29 |
Ginseng Price Prediction Model Based on Support Vector Machine and Particle Swarm Optimization |
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| MA Jian-hua , ZHANG Xing-qi , ZHANG Hui. Ginseng Price Prediction Model Based on Support Vector Machine and Particle Swarm Optimization[J]. Journal of Jilin University:Information Sci Ed, 2012, 30(2): 218-222. DOI: 10.3969/j.issn.1671-5896.2012.02.019 | |
| Authors: | MA Jian-hua ZHANG Xing-qi ZHANG Hui |
| Affiliation: | 1a.Department of Railway Engineering;1b.Department of Electrical Engineering,Jilin |Railway Career Technical College,Jilin 132002,China;2.College of Life Science,Jilin |University|Changchun 130012,China |
| Abstract: | Through the analysis of the influence of ginseng price factors,we predict the ginseng price.We applied K-fold cross-validation method,utilized the PSO(Particle Swarm Optimization) to reach the optimum of penalty parameter c and value of ggamma,and built the forecast model of the ginseng price from January 2010 to December 2011.The optimized value by PSO for penalty parameter c is 3.6974,the prediction correlation coefficient for prediction set 1 by the SVM(Support Vector Machine)of radial basis kernel function is 97.316%,the results are satisfactory,and we can predict ginseng price from January to June 2012 with this model. |
| Keywords: | support vector machine particle swarm optimization ginseng prices |
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