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BGOA-TVG: Binary Grasshopper Optimization Algorithm with Time-Varying Gaussian Transfer Functions for Feature Selection

Feature selection aims to select crucial features to improve classification accuracy in machine learning and data mining. In this paper, a new binary grasshopper optimization algorithm using time-varying Gaussian transfer functions (BGOA-TVG) is proposed for feature selection. Compared with the trad...

Täydet tiedot

Tallennettuna:
Päätekijät: Mengjun Li, Qifang Luo, Yongquan Zhou
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2024-03-01
Sarja:Biomimetics
Aiheet:
binary grasshopper optimization algorithm
time-varying Gaussian transfer function
UCI dataset
DEAP dataset
EPILEPSY dataset
feature selection
Linkit:https://www.mdpi.com/2313-7673/9/3/187
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