Threshold Potential Optimization in the Pulse Coupled Neural Network

被引：0
|
作者：
Forgac, R. [1 ]
Mokris, I. [1 ]
机构：
[1] Slovak Acad Sci, Inst Informat, Bratislava, Slovakia
来源：
2008 6TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS | 2008年
关键词：
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 paper introduces an approach for threshold potential optimization in the Pulse Coupled Neural Network (PCNN) to solve the quality of generated features for image recognition tasks. Threshold potential plays very important role because it provides and controls pulse effect of PCNN. The suitable control of pulse effect can improve dimension reduction of image classification space by PCNN that is necessary for successful image recognition with high input image dimension.
引用
收藏
页码：76 / 79
页数：4
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