基于遗传算法和近邻分类器识别率的特征选择方法

Feature Selection Method Based on Genetic Algorithm and Neighbor Classifier Recognition Rate

为解决模式识别中的特征选择问题,提出一种基于遗传算法和近邻分类器识别率的特征选择方法。实验结果表明,该算法具有良好的快速性和鲁棒性,应用效果较好。

In order to solve the problem of feature selection in pattern recognition,a feature selection method based on GA al-gorithm and nearest neighbor classifier are proposed. Experimental results show that the proposed algorithm has good perfor-mance and robustness,with good effects.