A hybrid model of fuzzy min–max and brain storm optimization for feature selection and data classification

Author:

Pourpanah Farhad,Lim Chee Peng,Wang XizhaoORCID,Tan Choo JunORCID,Seera Manjeevan,Shi Yuhui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shenzhen University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference58 articles.

1. A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid);Shunmugapriya;Swarm Evolut. Comput.,2017

2. Pareto front feature selection based on artificial bee colony optimization;Hancer;Inf. Sci. (Ny).,2018

3. An introduction to variable and feature selection;Guyon;J. Mach. Learn. Res.,2003

4. A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers;Santana,2010

5. Regularization and variable selection via the elastic net;Zou;J. R. Stat. Soc. Ser. B (Stat. Methodol.),2005

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