西安电子科技大学学报（自然科学版）Issue(2)：84-88,5.DOI:10.3969/j.issn.1001-2400.2015.02.014
一种采用类电磁机制算法的线性分类方法
Linear classification method based on the electromagnetism-like mechanism algorithm
摘要
Abstract
Because of the characteristic that the linear classifier can be easily extended to a nonlinear one, the linear classifier becomes one of the most commonly used methods in statistical pattern recognition. According to the optimal hyperplane and Electromagnetism-like mechanism algorithm,a combinational optimization linear classification algorithm is proposed,The new algorithm extracts category features from individual samples by sample training,finds the optimal classification hyperplane,designs and realizes a combinational optimization linear classification algorithm based on the improved Electromagnetism-like mechanism algorithm.Experiments show that the algorithm has good classification results,confirming the feasibility of combinational optimization linear classification algorithm.关键词
组合优化/线性分类/类电磁机制算法/类别特征/样本训练Key words
combinational optimization/linear classification/electromagnetism-like mechanism algorithm/category feature/sample training分类
信息技术与安全科学引用本文复制引用
苗苗,姜建国..一种采用类电磁机制算法的线性分类方法[J].西安电子科技大学学报（自然科学版）,2015,(2):84-88,5.基金项目
国家部委基础科研计划资助项目(D1120060967) （D1120060967）
