A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-08
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In the engineering field, excessive data dimensions affect the efficiency of machine learning and analysis of the relationships between data or features.
To render feature dimensionality reduction more effective and faster, this paper proposes a new feature dimensionality reduction approach combining a sampling survey method with a heuristic intelligent optimization algorithm.
Drawing on feature selection, this method builds a feature-scoring system and a reduced-dimension length-scoring system based on the sampling survey method.
According to feature scores and reduced-dimension lengths, the method selects a number of features and reduced-dimension lengths that are ranked in the front with high scores.
This feature dimensionality reduction method allows for in-depth optimal selection of features and reduced-dimension lengths with high scores using an improved heuristic intelligent optimization algorithm.
To verify the effectiveness of the dimensionality reduction method, this paper applies it to road roughness time-domain estimation based on vehicle dynamic response and gene-selection research in bioengineering.
Results in the first case show that the proposed method can improve the accuracy of road roughness time-domain estimation to above 0.99 and reduce measured data of the vehicle dynamic response, reducing the experimental workload significantly.
Results in the second case show that the method can select a set of genes quickly and effectively with high disease recognition accuracy.
American Psychological Association (APA)
Cheng, Zhun& Lu, Zhixiong. 2018. A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1133419
Modern Language Association (MLA)
Cheng, Zhun& Lu, Zhixiong. A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1133419
American Medical Association (AMA)
Cheng, Zhun& Lu, Zhixiong. A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1133419
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133419