Neighborhood search methods with Moth Optimization algorithm as a wrapper method for feature selection problems

Feature selection methods are used to select a subset of features from data, therefore only the useful information can be mined from the samples to get better accuracy and improves the computational efficiency of the learning model. Moth-flam Optimization (MFO) algorithm is a population-based approa...

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Veröffentlicht in:	International journal of electrical and computer engineering (Malacca, Malacca) Malacca), 2020-08, Vol.10 (4), p.3672
Hauptverfasser:	Alzaqebah, Malek, Alrefai, Nashat, Ahmed, Eman A. E., Jawarneh, Sana, Alsmadi, Mutasem K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer simulation Machine learning Neighborhoods Optimization Search methods
Online-Zugang:	Volltext
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