Binary Differential Evolution for Feature Selection

Versión 1.3 (61,1 KB) por Jingwei Too
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.
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Actualizado 20 dic 2020

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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Citar como

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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Compatibilidad con la versión de MATLAB
Se creó con R2018a
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.