现代电子技术2012，Vol.35Issue(18)：92-94,3.
基于信息增益的特征选择在烟丝致香成分中的应用
Application of information gain based feature selection in aroma components of shredded tobacco
刘孝良 1丁香乾 2门月1
作者信息
- 1. 中国海洋大学 信息科学与工程学院,山东青岛266071
- 2. 中国海洋大学信息工程中心,山东青岛266071
- 折叠
摘要
Abstract
Chemical composition of shredded tobacco can be extracted by experimental method, but its key aroma components are difficult to determine. In view of this problem, the chemical analysis method is often adopted, but it is time-consuming. A feature selection method based on information gain is adopted to extract the aroma components according to the relationship between chemical composition and aroma style. The information gain greater than zero as the result of feature selection is picked out to conduct classification prediction by calculating the information gain of each attribute in chemical compositions. The experimental results show that the method can get more accurate key aroma components, and classification result of its feature set is more accurate than that by traditional feature selection methods. It can be used as an effective tool of tobacco aroma classification.关键词
信息增益/特征选择/致香成分/烟叶香型Key words
information gain/ feature selection/ aroma component/ tobacco aroma分类
信息技术与安全科学引用本文复制引用
刘孝良,丁香乾,门月..基于信息增益的特征选择在烟丝致香成分中的应用[J].现代电子技术,2012,35(18):92-94,3.
