Binary Differential Evolution for Feature Selection

Versione 1.3 (61,1 KB) da Jingwei Too

The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.

https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection

Segui

4.5

(2)

697 download

Aggiornato 20 dic 2020

Visualizza la licenza su GitHub

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.

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

Cita come

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.

Visualizza più stili

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.

Visualizza più stili

Compatibilità della release di MATLAB

Creato con R2018a

Compatibile con qualsiasi release

Compatibilità della piattaforma

Windows macOS Linux

Categorie

AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >

Scopri di più su Dimensionality Reduction and Feature Extraction in Help Center e MATLAB Answers

Tag Aggiungi tag

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versione	Pubblicato	Note della release
1.3	20 dic 2020	See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection/releases/tag/1.3	Scarica
1.2	22 ott 2020	Improve code for the fitness function	Scarica
1.1.0	23 lug 2020	change to hold-out	Scarica
1.0.4	22 lug 2020	-	Scarica
1.0.3	22 lug 2020	-	Scarica
1.0.2	30 giu 2019	-	Scarica
1.0.1	11 mag 2019	Add paper	Scarica
1.0.0	11 mag 2019		Scarica

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.

MLA	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.
APA	Too, J., Abdullah, A. R., & Saad, N. M. (2019). Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification. Axioms, 8(3), 79. MDPI AG. Retrieved from https://doi.org/10.3390%2Faxioms8030079
BibTeX	@article{Too_2019, doi = {10.3390/axioms8030079}, url = {https://doi.org/10.3390%2Faxioms8030079}, year = 2019, month = {jul}, publisher = {{MDPI} {AG}}, volume = {8}, number = {3}, pages = {79}, author = {Jingwei Too and Abdul Rahim Abdullah and Norhashimah Mohd Saad}, title = {Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for {EMG} Signals Classification}, journal = {Axioms} }

MLA	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.
APA	Too, J., Abdullah, A., Saad, N. M., & Tee, W. (2019). EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization. Computation, 7(1), 12. MDPI AG. Retrieved from https://doi.org/10.3390%2Fcomputation7010012
BibTeX	@article{Too_2019, doi = {10.3390/computation7010012}, url = {https://doi.org/10.3390%2Fcomputation7010012}, year = 2019, month = {feb}, publisher = {{MDPI} {AG}}, volume = {7}, number = {1}, pages = {12}, author = {Jingwei Too and Abdul Abdullah and Norhashimah Mohd Saad and Weihown Tee}, title = {{EMG} Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization}, journal = {Computation} }