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

页码：440 / +

页数：3

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