Waveband Selection Based Feature Extraction Using Genetic Algorithm

Yujun Li, Kun Liang, Xiaojun Tang, Keke Gai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In order to explain the geological structure accurately and quickly, we analyze the gas mixture gathered from the well by Infrared Spectroscopy Fourier Transform Spectrometer instead of gas chromatograph. In the process of the spectrum analysis, the reduction of the spectrum data dimention is very neccessary to perform. In this paper, we propose a feature extraction method is based on waveband selections using genetic algorithm, which is named FEWSGA. This approach can directly selecte eigenvalues from the limited waveband spectrum data instead of using mathematical transformation, such as the PCA (principal component analysis) and PLS (partial least squares) algorithm. Experiments results show that our method can reduce the spectrum data dimention from 1866 to 317, and the mean relative error (MRE) of the analysis model decrease from 34.68% to 26.59%. Moreover, the feature extraction from the whole waveband spectrum data using GA only reduce the data dimention from 1866 to 937. The MRE of the analysis model only reduces from 34.68% to 32.97%. Our approach has a better performance.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017
EditorsMeikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages223-227
Number of pages5
ISBN (Electronic)9781509066438
DOIs
Publication statusPublished - 20 Jul 2017
Externally publishedYes
Event4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017 - New York, United States
Duration: 26 Jun 201728 Jun 2017

Publication series

NameProceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017

Conference

Conference4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017
Country/TerritoryUnited States
CityNew York
Period26/06/1728/06/17

Keywords

  • Waveband selection
  • gas mixture
  • genetic algorithm
  • infrared spectrum

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