Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection

This paper aims to implement four machine learning models using Differential Evolution to tune internal parameters and for feature selection in a problem involving the classification of drum cymbals according to their bronze alloys via their sound. In order to conduct the experiments, 276 audios ref...

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Veröffentlicht in:Journal of intelligent manufacturing 2024, Vol.35 (1), p.257-273
Hauptverfasser: Boratto, Tales H. A., Saporetti, Camila M., Basilio, Samuel C. A., Cury, Alexandre A., Goliatt, Leonardo
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Sprache:eng
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