A Fuzzy-GA Wrapper-Based Constructive Induction Model

被引：0
|
作者：
HaiAbedi, Zohreh [1 ]
Kangavari, Mohammad Reza [2 ]
机构：
[1] Islamic Azad Univ, Sci & Res Branch, Tehran, Iran
[2] Iran Univ Sci & Technol, Dept Comp, Tehran, Iran
来源：
EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2009年 / 5755卷
关键词：
Constructive induction; Feature construction; Feature selection; Fuzzy; GA;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Constructive Induction is a preprocessing step applied to representation space prior to machine learning algorithms and transforms the original representation with complex interaction into a representation that highlights regularities and is easy to be learned. In this paper a Fuzzy-GA wrapper-based constructive induction system is represented. In this model an understandable real-coded GA is employed to construct new features and a fuzzy system is designed to evaluate new constructed features and select more relevant features. This model is applied on a PNN classifier as a learning algorithm and results show that integrating PNN classifier with Fuzzy-GA wrapper-based constructive induction module will improve the effectiveness of the classifier.
引用
收藏
页码：440 / +
页数：3
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