Application of data with missing attributes in the probability RBF neural network learning and classification

被引：0
|
作者：
Plucinski, M [1 ]
机构：
[1] Tech Univ Szczecin, Fac Comp Sci & Informat Syst, PL-71210 Szczecin, Poland
来源：
ARTIFICIAL INTELLIGENCE AND SECURITY IN COMPUTING SYSTEMS | 2003年 / 752卷
关键词：
probabilistic RBF neural network; classification; incomplete data;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The lack of some attributes in an input vector is a very frequent problem in classification tasks. In the paper there is presented an application of the probability RBF neural network to classification of samples with missing attributes and tuning of the network with incomplete data.
引用
收藏
页码：63 / 72
页数：10
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