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《Computer Applications and Software》 2005-05
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THE APPLICATION TO ATMOSPHERE QUALITY ASSESSMENT BASED ON MULTI-CLASS SVM-DECISION BINARY TREE

Hou Huifang Liu Suhua (Department of Computer Science,Zhengzhou Institute of Technology,Zhengzhou Hena n 450052,China)  
The traditional Support Vector Machine s only deal with the binary classification.It has difficulty in solving the multi - class Atmosphere Quality Assessment problems.This paper presents an Atmosphere Q uality Assessment classification algorithm which is based on SVM-decision bina ry tree.This method distributes classifier to each nodes which constitutes multi -class SVM.It can reduce the number of SVM classifier and duplicating training samples.The experiment shows that this method is precised.
【Fund】: 河南省科技攻关项目(编号:0224010011)
【CateGory Index】: X823
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