Binary Dragonfly Algorithm for Feature Selection

Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.

https://github.com/JingweiToo/Binary-Dragonfly-Algorithm-for-Feature-Selection

版本 1.1 (61.6 KB)
431.0 次下载
(1)
2020/12/20

您现在正在关注此提交

This toolbox offers a Binary Dragonfly Algorithm (BDA) method

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

**********************************************************************************************************************************

引用格式

Too, Jingwei, and Seyedali Mirjalili. “A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study.” Knowledge-Based Systems, vol. 212, Elsevier BV, Jan. 2021, p. 106553, doi:10.1016/j.knosys.2020.106553.

查看更多格式

一般信息

MATLAB 版本兼容性

  • 兼容任何版本

平台兼容性

  • Windows
  • macOS
  • Linux
在新标签页中打开
版本 已发布 发行说明
1.1

See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Dragonfly-Algorithm-for-Feature-Selection/releases/tag/1.1
1.0.1

Simplify the algorithm as hold-out
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 存储库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。