The Barrel Theory Based Decision-making Algorithm and Its Application

被引：11
|
作者：
Liu Huabo [1 ]
He Liyuan [1 ]
Liu Tao [2 ]
机构：
[1] Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China
[2] Soil & Fertilizer Stn Hubei Prov, Wuhan, Peoples R China
来源：
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I | 2009年
关键词：
Barrel algorithm; Barrel theory; Tobacco grading; Decision-making;
D O I：
10.1109/CINC.2009.117
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The study proposed the barrel algorithm based on barrel principle. The concept and operative steps were introduced and tested in auto-grading of tobacco leaves. The experiment demonstrated that the barrel algorithm could get a satisfied classification results in solving; pattern recognition problems tallying with barrel theory. The method may provide the tobacco industry with a rapid and accurate method to determine the quality grades of tobacco leaves, and give a clear approach to settle similar problems.
引用
收藏
页码：11 / +
页数：2
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