A kind of fuzzy constructive neural network and its application

被引：0

作者：

Wu Tao ^{[1
,2
,3
]}

Chen Liwei ^{[3
]}

Mao Junjun ^{[2
,3
]}

Zhang Ling ^{[2
]}

机构：

[1] Nanjing Univ, Dept Comp Sci & Technol, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China

[2] Anhui Univ, Key Lab IC&SP, Hefei 230039, Peoples R China

[3] Anhui Univ, Sch Math & Computat Sci, Hefei 230039, Peoples R China

来源：

PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4 | 2007年

关键词：

kernel function; covering design algorithm; structural machine learning; fuzzy;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Support vector machine (SVM) has been studied and applied extensively for its high accuracy, but it must construct SVM decision tree to classify sample sets with multiclass for it just be applicable for binary classification and solve a quadratic programming problem to gain optimal hyperplane either in sample spaces or in feature spaces; Alternative covering algorithm which designs neutral networks with spherical domains has the advantages of fast performance, some hard solving problems have been solved using this algorithm. In this paper, a new kind of structural learning algorithm which combining covering design algorithm, fuzzy set and SVM is put forward, instances show that this kind of networks has the virtue of both covering design algorithm and SVM.

引用

页码：217 / +

页数：2