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基于GA的汽车故障特征选择
引用本文:周金应.基于GA的汽车故障特征选择[J].山东交通科技,2009(6).
作者姓名:周金应
作者单位:中国汽车工程研究院有限公司;
摘    要:特征选择是模式识别中的一个关键问题。在很多实际问题中,很难找到那些最重要的特征,或受条件限制不能对它们进行测量,从而使特征选择成为模式识别系统最困难的任务之一。遗传算法作为一种智能化的优化方法,具有适合特征选择的优势。对遗传算法做了简约介绍,通过相应的程序并结合汽车故障实例进行了分析。

关 键 词:汽车故障  特征选择  遗传算法  

Feature selection based on GA for automobile fault diagnosis
ZHOU Jin-ying.Feature selection based on GA for automobile fault diagnosis[J].SHANDONG JIAOTONG KEJI,2009(6).
Authors:ZHOU Jin-ying
Institution:ZHOU Jin-ying(China Automotive Engineering Research Institute Co.,Ltd,Chongqing 400039 China)
Abstract:Feature selection is a key problem in pattern recognition.In fact,it is very difficulty to find the most important feature,or can not measure by restricted qualification,as a result,feature selection becomes one of the most difficult tasks in the pattern recognition system.As an artificial intelligence tool,genetic algorithms have the predominance of feature selection.This paper tries to introduce genetic algorithms concisely,and basic GA process is discussed through automobile's fault examples.
Keywords:automobile fault  feature selection  genetic algorithms  
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