CAJ | 학술논문

特征选择是水声目标识别领域的重要环节之一。提出基于互信息的顺序向前特征选择算法，通过计算特征之间的互信息和特征与类别间的互信息对所有特征的分类能力进行排序。提取了实测4类水声目标进行特征选择和分类实验，结果表明：该算法能够选择有效特征子集，得到较高的正确识别率，并且运行速度快，稳定性强。
특정선택시수성목표식별영역적중요배절지일。제출기우호신식적순서향전특정선택산법，통과계산특정지간적호신식화특정여유별간적호신식대소유특정적분류능력진행배서。제취료실측4류수성목표진행특정선택화분류실험，결과표명：해산법능구선택유효특정자집，득도교고적정학식별솔，병차운행속도쾌，은정성강。
Feature selection is important in classifying underwater acoustic target. In this paper, an algorithm of forward order feature selection based on mutual information (SFFSMI algorithm) is proposed. This algorithm sorts the classi-fying abilities of all features by calculating mutual information between different features and the mutual information between features and classes. The features of 4 classes of underwater targets are extracted and used for feature selection and classification experiment. Experimental results show that, this algorithm can choose effective feature subsets with high correct identification rate and it runs fast with high stability.