电子学报2017，Vol.45Issue(2)：408-416,9.DOI:10.3969/j.issn.0372-2112.2017.02.020
改进的投影孪生支持向量机
Improved Projection Twin Support Vector Machine
摘要
Abstract
An Improved Projection Twin Support Vector Machine (IPTSVM) is presented.The target of the proposed IPTSVM is to deal with a set of problems in the training and solving steps of PTSVM.We first propose a linear IPTSVM for binary classification.Then we extend it to the corresponding nonlinear version using kernel tricks.The paper has three main contributions to the community:(1) A new PTSVM-based method is proposed,in which we do not have to compute the inverse of a large matrix before the training step.(2) We design the nonlinear IPSVM that is obtained by using kernel tricks.(3) A new parameter is introduced,which can adjust the performance of the model and improve the classification accuracy of IPTSVM.Experimental results obtained from several datasets demonstrate that,compared with PTSVM,IPTSVM not only improves the classification accuracy but also overcomes some deficiencies to a certain extent.关键词
支持向量机/非平行平面支持向量机/投影孪生支持向量机/模式分类Key words
support vector machine/nonparallel hyperplane support vector machine/projection twin support vector machine/pattern classification分类
信息技术与安全科学引用本文复制引用
陈素根,吴小俊..改进的投影孪生支持向量机[J].电子学报,2017,45(2):408-416,9.基金项目
国家自然科学基金(No.61373055) （No.61373055）
安徽省高等学校自然科学研究重点项目(No.KJ2015A266,No.KJ2016A431) （No.KJ2015A266,No.KJ2016A431）
