首先,通过ReliefF算法计算出各特征的权重系数,对特征集进行加权;然后利用mRMR算法选出 与类别具有最大相关性且相互之间具有最小冗余性的特征。实验采用提出的算法对原特征空间进行 优化,然后基于优化后的特征空间进行遥感图像自动分类,结果表明此方法能较好的提高分类精度。 关键词:遥感图像;特征选择;分类 中图分类号:...
针对制冷剂充注量故障,提出了一种结合ReliefF和mRMR特征选择算法的故障诊断方法.首先,利用ReliefF算法计算出每个特征变量的权重系数w(A),剔除权重系数低于闽值的特征;然后,利用集成的mRMR算法选出与目标类别具有最大相关性且相互之间具有最小冗余性的特征子集;最后,利用特征提取后的变量建立BP神经网络模型进行故障诊断...
支持向量机为进一步提高变压器故障诊断准确率,提出一种基于ReliefF-mRMR与IAO-SVM结合的变压器故障诊断模型.采用ReliefF和最大相关最小冗余(mRMR)算法对变压器故障数据进行特征优选;引入混沌反向学习和自适应混合变异策略改进天鹰优化算法,并对最优特征集合和支持向量机(SVM)参数联合寻优,构建最佳故障诊断模型;利用已有...
In this paper, we present a two-stage selection algorithm by combining ReliefF and mRMR: In the first stage, ReliefF is applied to find a candidate gene set; In the second stage, mRMR method is applied to directly and explicitly reduce redundancy for selecting a compact yet effective gene ...
Identification of OSAHS patients based on ReliefF-mRMR feature selectiondoi:10.1007/s13246-023-01345-1Ye, ZiqiangPeng, JianxinZhang, XiaowenSong, LijuanPhysical & Engineering Sciences in Medicine
ReliefFMinimum redundancy maximum relevanceFeature selectionCognition may be defined as a set of mental activities or processes which deals with knowledge, attention, memory and working memory, reasoning and computation, and judgement and evaluation. In this paper, we aim to study two distinctive ...
Alzaqebah, "Hybridizing relieff, mRMR filters and GA wrapper approaches for gene selection," J. Theor. Appl. Inf. Technol., vol. 46, no. 2, pp. 1034-1039, 2012.Shreem S, Abdullah S, Nazri M, Alzaqebah M, Hybridizing Relief F. MRMR filters and GA wrapper approaches for gene ...
Zhang, Y., Ding, C., Li, T.: Gene selection algorithm by combining relieff and mrmr. BMC Genomics 9(suppl. 2) (2008).Zhang, Y.: Ding, C.: Li, T.: Gene selection algorithm by combining reliefF and mRMR. IEEE 7th International Conference on Bioinformatics and Bioengineering. 1-10 ...