A note on the fast BRAIN learning algorithm

被引：1

作者：

Xu, Shuo ^{[1
]}

Tao, Lan ^{[2
]}

An, Xin ^{[3
]}

Li, Lin ^{[1
]}

机构：

[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China

[2] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China

[3] Univ Int Business & Econom, Sch Int Trade & Econom, Beijing 100083, Peoples R China

来源：

BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 1 | 2008年

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1109/BMEI.2008.79

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

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, and the experiments on NN269 dataset validate our analysis.

引用

页码：47 / +

页数：2

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