A New Feature Selection Algorithm Based on the Mean Impact Variance
Joint Authors
Gao, Robert X.
Wen, Weigang
Wang, Tianyang
Cheng, Weidong
Li, Jianyong
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The selection of fewer or more representative features from multidimensional features is important when the artificial neural network (ANN) algorithm is used as a classifier.
In this paper, a new feature selection method called the mean impact variance (MIVAR) method is proposed to determine the feature that is more suitable for classification.
Moreover, this method is constructed on the basis of the training process of the ANN algorithm.
To verify the effectiveness of the proposed method, the MIVAR value is used to rank the multidimensional features of the bearing fault diagnosis.
In detail, (1) 70-dimensional all waveform features are extracted from a rolling bearing vibration signal with four different operating states, (2) the corresponding MIVAR values of all 70-dimensional features are calculated to rank all features, (3) 14 groups of 10-dimensional features are separately generated according to the ranking results and the principal component analysis (PCA) algorithm and a back propagation (BP) network is constructed, and (4) the validity of the ranking result is proven by training this BP network with these seven groups of 10-dimensional features and by comparing the corresponding recognition rates.
The results prove that the features with larger MIVAR value can lead to higher recognition rates.
American Psychological Association (APA)
Cheng, Weidong& Wang, Tianyang& Wen, Weigang& Li, Jianyong& Gao, Robert X.. 2014. A New Feature Selection Algorithm Based on the Mean Impact Variance. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500664
Modern Language Association (MLA)
Cheng, Weidong…[et al.]. A New Feature Selection Algorithm Based on the Mean Impact Variance. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-500664
American Medical Association (AMA)
Cheng, Weidong& Wang, Tianyang& Wen, Weigang& Li, Jianyong& Gao, Robert X.. A New Feature Selection Algorithm Based on the Mean Impact Variance. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500664
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500664