摘要
特征子集选择问题一直是人工智能领域研究的重要内容。特征子集选择算法研究是机器学习和数据挖掘等领域的研究热点。提出了基于差异演化算法的特征子集选择算法,实验证明该算法是简单、正确、有效的,并具有良好的收敛性和稳定性。
Feature subset selection is one of the important research issues in the field of artificial intelligence. Especially, in the past few years it has received considerable attention from machine learning and data mining. In this paper, an algorithm of feature subset selection based on differential evolution algorithm is proposed. It is proved by experimenal results that the convergence and the stability of this algorithm are adequately achieved,
出处
《信息技术》
2007年第4期1-3,共3页
Information Technology
基金
河北省科技厅科研项目(052135149)
关键词
数据挖掘
特征子集选择
差异演化算法
人工智能
data mining
feature subset selection
differential evolution algorithm
AI
