Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces
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Title
Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces
Authors
Keywords
Feature selection, Symbiotic search organism algorithm, Multi-objective optimization, Brain computer interface
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 165, Issue -, Pages 113907
Publisher
Elsevier BV
Online
2020-08-31
DOI
10.1016/j.eswa.2020.113907
References
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Note: Only part of the references are listed.- Symbiotic organisms search algorithm for optimal evolutionary controller tuning of fractional fuzzy controllers
- (2019) Yongquan Zhou et al. APPLIED SOFT COMPUTING
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- (2015) Izabela Rejer INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
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- (2015) Yong Zhang et al. NEUROCOMPUTING
- An advanced ACO algorithm for feature subset selection
- (2015) Shima Kashef et al. NEUROCOMPUTING
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- (2015) Yong Liu et al. IEEE Transactions on Cybernetics
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- (2012) Ashish Ghosh et al. APPLIED SOFT COMPUTING
- Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures
- (2012) Igor Vatolkin et al. SOFT COMPUTING
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- (2012) Bing Xue et al. IEEE Transactions on Cybernetics
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- (2011) Sérgio Francisco da Silva et al. DECISION SUPPORT SYSTEMS
- Improved binary particle swarm optimization using catfish effect for feature selection
- (2011) Li-Yeh Chuang et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2011) Rami N. Khushaba et al. EXPERT SYSTEMS WITH APPLICATIONS
- A new hybrid ant colony optimization algorithm for feature selection
- (2011) Md. Monirul Kabir et al. EXPERT SYSTEMS WITH APPLICATIONS
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