A novel gaussian based particle swarm optimization gravitational search algorithm for feature selection and classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-05830-0.pdf
Reference37 articles.
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3. Zhang H Analysis of Ionosphere data and improvement. http://users.cecs.anu.edu.au/~Tom.Gedeon/conf/ABCs2018/paper/ABCs2018_paper_74.pdf
4. Saravanapriya K, Bagyamani J (2019) A rough set pooled fitness function based particle swarm optimization algorithm using golden ratio principle for feature selection. IJEAT 9(1):3785–3790. https://doi.org/10.35940/ijeat.A9823.109119
5. Rashedi E, Nezamabadi-pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232–2248. https://doi.org/10.1016/j.ins.2009.03.004
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