Research on Discretization Algorithm of Continuous Attribute Based on PCNN in a Bridge Erecting Machine Safety Monitoring System

被引:0
|
作者
Chen, Na [1 ]
Yang, Shaopu [2 ]
Pan, Cunzhi [2 ]
Guo, Erfu [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing, Peoples R China
[2] Shijiazhuang Tiedao Univ, Shijiazhuang, Peoples R China
来源
APPLIED INFORMATICS AND COMMUNICATION, PT 2 | 2011年 / 225卷
关键词
PCNN (Pulse Coupled Neural Network); discretization; a bridge erecting machine; safety monitoring; Rough Sets;
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
PCNN (Pulse Coupled Neural Network) model is suitable for implementing clustering algorithm because of its unique neighbor coupled feature. This paper presented a new discretization algorithm of continuous attribute based on simplified PCNN model. Measured signals of the bridge erecting machine safety monitoring system are computed on this algorithm. Then decision rules are gained by using Rough Sets model to analyze the discretized result, among which the ratio of deterministic rules is 100 percent. Obviously it improves the certainty of decision and analysis better.
引用
收藏
页码:708 / +
页数:2
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