Fast competitive learning algorithm for image compression neural networks

被引：2
|
作者：
Jiang, J
机构：
[1] Department of Computer Studies, Loughborough University, Loughborough
来源：
ELECTRONICS LETTERS | 1996年 / 32卷 / 15期
关键词：
image processing; data compression; neural networks;
D O I：
10.1049/el:19960891
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A fast training algorithm for competitive learning neural networks is presented. The algorithm identifies the full Euclidean distance calculation as the major bottleneck. Through theoretical analysis, a simple approximate distance is derived and used as the pre-test to exclude most of the neurons in competitive learning. Thus provides significant efficiency improvement over the standard algorithm.
引用
收藏
页码：1380 / 1381
页数：2
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