长春大学学报（自然科学版）Issue(6)：1528-1534,7.
基于多尺度最小二乘支持向量机的舰船备件器材多类分类
Multi-class Classification of Ship Spare Parts Equipment Based on Multi-scale Least Squares Support Vector Machine
摘要
Abstract
In view of the classification management problems of pelagic task ship spare parts equipment, based on the support vector machines theory, making full use of the advantages of the multi-scale kernel in nonlinear classification, with the aid of the least squares principle, this paper establishes a multi-scale model of least squares support vector machine. In practical application, by selecting Gauss radical function as the multi-scale kernel function, taking the discrete coefficient of the training samples data distribution as the width parameter value reference of kernel function, the multiclass classification model is established by ECOC method. The result indi-cates that this method is effective and feasible for the classification of pelagic task ship spare parts equipment.关键词
多尺度/支持向量机/多类分类/舰船备件器材Key words
multi-scale/support vector machine/multi-class classification/ship spare parts equipment分类
交通工程引用本文复制引用
邢焕革,卫一熳,彭义波..基于多尺度最小二乘支持向量机的舰船备件器材多类分类[J].长春大学学报（自然科学版）,2013,(6):1528-1534,7.基金项目
军队研究生课题(2010JY0684-394)、(2011JY002-422)的资助 （2010JY0684-394）
