A fuzzy central cluster neural classifier

被引：0
|
作者：
Zeng, HL
Hu, Y
Sun, XB
机构：
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
关键词：
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：
Pattern classification is a critical stage in an Image recognition system. In this paper, we will incorporate the concepts of fuzzy sets into the recognition system, and develop an efficient algorithm based on fuzzy classification decision criterion to classify features of images with a high degree of success. A fuzzy central cluster neural network classifier (FCCNN) are proposed, which takes advantages of neural networks being of the high computation rate provided by their massive parallelism, and fuzzy neural network classifiers can be trained with supervision its well as unsupervision techniques.
引用
收藏
页码：1747 / 1750
页数：4
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