@inproceedings{5edf71a2d61c474a983c64ec28add3a1,
title = "Waveband Selection Based Feature Extraction Using Genetic Algorithm",
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.",
keywords = "Waveband selection, gas mixture, genetic algorithm, infrared spectrum",
author = "Yujun Li and Kun Liang and Xiaojun Tang and Keke Gai",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 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 date: 26-06-2017 Through 28-06-2017",
year = "2017",
month = jul,
day = "20",
doi = "10.1109/CSCloud.2017.31",
language = "English",
series = "Proceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "223--227",
editor = "Meikang Qiu",
booktitle = "Proceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017",
address = "United States",
}