An improved fast BRAIN learning algorithm

被引：0
|
作者：
Xu, Shuo [2 ]
An, Xin [3 ]
Tao, Lan [1 ]
机构：
[1] Shenzhen Univ, Coll Informat Engn, Nanhai Ave 3688, Shenzhen 518060, Guangdong, Peoples R China
[2] China Agr Univ, Coll Informat & Engn, Beijing 100083, Peoples R China
[3] Univ Internat Business & Econom, Sch Internat Trade & Econom, Beijing 100029, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE, VOL 1 | 2008年 / 258卷
关键词：
BRAIN; numerical computation;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
In this paper, an underlying problem on the fast BRAIN learning algorithm is pointed out, which is avoided by introducing the quantity count (., .). In addition, its speed advantage can still be enjoyed only at a cost of a little additional space. The improved fast BRAIN learning algorithm is also given.
引用
收藏
页码：341 / +
页数：2
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