Genetic Algorithm for Feature Selection

版本 1.3 (62.1 KB) 作者: Jingwei Too
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.
0.0
(0)
1.1K 次下载
更新 2020/12/19
在 GitHub 上查看许可证

Simple genetic algorithm (GA) for feature selection tasks, which can select the potential features to improve the classification accuracy.

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

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

引用格式

Too, Jingwei, and Abdul Rahim Abdullah. “A New and Fast Rival Genetic Algorithm for Feature Selection.” The Journal of Supercomputing, Springer Science and Business Media LLC, July 2020, doi:10.1007/s11227-020-03378-9.

查看更多格式

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.

查看更多格式
MATLAB 版本兼容性
创建方式 R2018a
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签
在新标签页中打开
版本 已发布 发行说明
1.3

See release notes for this release on GitHub: https://github.com/JingweiToo/Genetic-Algorithm-for-Feature-Selection/releases/tag/1.3
1.2.1

Solve one bug in the fitness function
1.2

Improve code for the fitness function
1.1.0

change to 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。