摘要
文章提出了一种多分类器的组合方法,它利用了参与组合的分类器提供的度量层次上的两类信息:对训练样本的决策信息;对待识样本的决策信息。首先对这两类信息进行集成,进而给出了组合分类器的判定规则。用该方法对手写体汉字作分类识别,实验结果显示,较之其它几种方法,它有更高的正确识别率。
This paper presents a combination method of multiple classifiers,which applies two kinds of decision information provided by the applied classifiers,one is for training samples,and the other is for unknown samples.Those two kinds of information are integrated to produce the decision rule of combined classifier.This method is applied to classify and recognize the handwriting Chinese characters,and the experimental results show that this method is superior to the other method in terms of the recognition rate.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第20期84-85,102,共3页
Computer Engineering and Applications
