Analog filter circuits feature selection using MRMR and SVM

作者：Sun Yongkui^*; Ma Lei; Qin Na; Zhang Meilan; Lv Qianyong

来源：2014 14th International Conference on Control, Automation and Systems, ICCAS 2014, 2014-10-22 to 2014-10-25.

DOI：10.1109/ICCAS.2014.6987812

• Analog filters
• Cross validation
• Feature subset
• Maximum relevance minimum redundancies
• MRMR

This paper addresses frequency response feature extraction of analog filter circuits. An approach for feature selection using criteria of maximum relevance minimum redundancy (MRMR) and support vector machine (SVM) is proposed. Key idea of the method is to obtain candidate feature subsets with descending order using criteria of MRMR first, and then to select the optimal feature subset through cross validation results of each feature subset using SVM. Experimental results testify that the proposed approach has the advantages of less time-consuming and the selected features have reasonable distribution.

• 出版日期2014
• 单位西南交通大学