A new hybrid feature selection based on Improved Equilibrium Optimization
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Title
A new hybrid feature selection based on Improved Equilibrium Optimization
Authors
Keywords
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Journal
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 228, Issue -, Pages 104618
Publisher
Elsevier BV
Online
2022-07-22
DOI
10.1016/j.chemolab.2022.104618
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- Data-driven research on chemical features of Jingdezhen and Longquan celadon by energy dispersive X-ray fluorescence
- (2016) Ziyang He et al. CERAMICS INTERNATIONAL
- SCA: A Sine Cosine Algorithm for solving optimization problems
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- Ant colony optimization-based feature selection method for surface electromyography signals classification
- (2011) Hu Huang et al. COMPUTERS IN BIOLOGY AND MEDICINE
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- (2009) Li-Yeh Chuang et al. APPLIED SOFT COMPUTING
- Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
- (2009) Salvador García et al. INFORMATION SCIENCES
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- (2009) Iffat A. Gheyas et al. PATTERN RECOGNITION
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