Least Squares Support-Vector-Machines(LS-SVM) algorithm is an efficient project about pattern classification on unclassifiable sample set condition.While dealing with many factual pattern classification problems,this algorithm reflects certain limitation.A generalized LS-SVM algorithm was introduced to further improve the applicability of LS-SVM.This new method was applied to radar range profile's recognition.The experimental results show that this new method can achieve better recognition effect.
【更新日期】
2009-03-26
【分类号】
TP181
【正文快照】
0引言最小二乘支持向量机[1-3](Least Squares Support VectorM ach ine,LS-SVM)是处理不可分样本集情况下模式分类的有效工具,但是该算法在处理各类样本数据分布范围相差很大、各类样本数量悬殊很大以及各类样本错分所造成的危害程度不同等情况时具有一定的局限性。针对上述情
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