A Comprehensive Survey on Feature Selection with Grasshopper Optimization Algorithm

Recent growth in data dimensions presents challenges to data mining and machine learning. A high-dimensional dataset consists of several features. Data may include irrelevant or additional features. By removing these redundant and unwanted features, the dimensions of the data can be reduced. The fea...

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Veröffentlicht in:	Neural processing letters 2024-02, Vol.56 (1), p.28, Article 28
Hauptverfasser:	Alirezapour, Hanie, Mansouri, Najme, Mohammad Hasani Zade, Behnam
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Biogeography Complex Systems Computational Intelligence Computer Science Data mining Datasets Discriminant analysis Feature selection Genetic algorithms Grasshoppers Heuristic methods Keywords Machine learning Mean square errors Neural networks Optimization Optimization algorithms Research methodology Support vector machines Swarm intelligence Wavelet transforms
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