Binary Differential Evolution for Feature Selection

版本 1.3 (61.1 KB) 作者: Jingwei Too
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.
699.0 次下载
更新时间 2020/12/20

This toolbox offers Binary Differential Evolution (BDE) method

The < Main.m file > illustrates the example of how BDE can solve the feature selection problem using benchmark data-set.

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引用格式

Too, Jingwei, et al. “Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification.” Axioms, vol. 8, no. 3, MDPI AG, July 2019, p. 79, doi:10.3390/axioms8030079.

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Too, Jingwei, et al. “EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization.” Computation, vol. 7, no. 1, MDPI AG, Feb. 2019, p. 12, doi:10.3390/computation7010012.

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版本 已发布 发行说明
1.3

See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection/releases/tag/1.3

1.2

Improve code for the fitness function

1.1.0

change to hold-out

1.0.4

-

1.0.3

-

1.0.2

-

1.0.1

Add paper

1.0.0

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库