The Application of Feature Selection under Supervised Learning in Liquid Recognition

被引：0
|
作者：
SongQing [1 ]
LuoYuan [1 ]
ZouCunwei [1 ]
LiJie [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Automat Sch, Beijing 100876, Peoples R China
来源：
CEIS 2011 | 2011年 / 15卷
关键词：
Feature Selection; Liquid Identification; Supervised Learning; DB index; Floating Search Algorithm;
D O I：
10.1016/j.proeng.2011.08.364
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem needed to be solved firstly in liquid identification based on Droplet Fingerprint is feature selection. Feature selection is how to minimize the dimension of feature under the premise of not reducing the classification accuracy. According to the DB index classification criteria and floating search algorithm, this paper proposes an algorithm of feature selection suitable for supervised learning and performs the algorithm in Droplet Fingerprint database. Experimental results show that the algorithm performs better and greatly improves the efficiency of feature selection. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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页数：6
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