基于改进烟花算法的SVM特征选择和参数优化
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摘要
本文提出了一种改进的基于烟花算法的SVM特征选择和参数优化算法.该算法针对特征选择问题的0-1特性,使用二进制编码的烟花算法,采用基于RBF核函数的SVM,在选取尽可能少的特征数目的同时提高了分类准确率.通过UCI数据仿真,对比结果表明:该方法避免了过早成熟而陷入局部最优的问题,可有效地找出合适的特征子集及SVM参数,并取得较好的分类效果.
In this paper,we propose a Fireworks Algorithm based method to improve the performance of feature selection and parameters optimization in training SVM.For the 0-1 characteristic of feature selection,the binary coding Fireworks Algorithm and RBF kernel function based SVM are used to improve the accuracy of classification with less features.Compared to previous works,the proposed method can avoid being mature and falling into a local value,and it can effectively find the appropriate feature subset and parameters to get better performance of classification in UCI dataset.
In this paper,we propose a Fireworks Algorithm based method to improve the performance of feature selection and parameters optimization in training SVM.For the 0-1 characteristic of feature selection,the binary coding Fireworks Algorithm and RBF kernel function based SVM are used to improve the accuracy of classification with less features.Compared to previous works,the proposed method can avoid being mature and falling into a local value,and it can effectively find the appropriate feature subset and parameters to get better performance of classification in UCI dataset.
引文
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[11]张俊才,张静.使用粒子群算法进行特征选择及对支持向量机参数的优化[J].微电子学与计算机,2012,29(7):138-141.
[2]李小琳,孙玥,刘洋.基于SVM修正的模糊时间序列模型在沪指预测中的应用[J].中国科学技术大学学报,2016,46(3):238-246.
[3]Uricar M,Timofte R,Rothe R,et al.Structured output svm prediction of apparent age,gender and sm-ile from deep features[C]∥Chalearn Looking at Peopleand Faces of the World:Face Analysis Workshop and Challenge.[s.l].2016:730-738.
[4]Hsu C W,Chang C C,Lin C J.A Practical guide to support vector classication[J].国立台湾大学资讯工程学系,2003,67(5):58-67.
[5]Huang C L,Wang C J.A GA based feature selectionand parameters optimization for support vector machines.expert systems with applications[J].Expert Systems with Applications,2006,31(2):231-240.
[6]Tan Y,Zhu Y.Fireworks algorithm for optimization[C]∥International Conference on Advances in Swarm Intelligence.Berlin,Springer-Verlag,2010:355-364.
[7]谭营.烟花算法引论[M].北京:科学出版社,2015.
[8]Misra P R,Si T.Image segmentation using clusteri-ng with fireworks algorithm[C]∥Intelligent Systems andControl(ISCO),2017 11th International Conference on.Bilbao,Spain,IEEE,2017:97-102.
[9]Arsic A,Tuba M,Jordanski M.Fireworks algorithmapplied to wireless sensor networks localization problem[C]∥IEEE Congress on Evolutionary Computation.Press.USA,IEEE,2016:4038-4044.
[10]Chang C C,Lin C J.LIBSVM:A library for support vector machines[J].Acm Transactions on Intelligent Systems&Technology,2011,2(3):1-27.
[11]张俊才,张静.使用粒子群算法进行特征选择及对支持向量机参数的优化[J].微电子学与计算机,2012,29(7):138-141.