Galaxies image classification using artificial bee colony based on orthogonal Gegenbauer moments

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Journal: ALEXANDRIA ENGINEERING JOURNAL SPRINGER Volume:
Keywords : Galaxies image classification using artificial , colony    
Abstract:
The development of automated morphological classification schemes for galaxies is important to study the formation and subsequent evolution of galaxies in our universe. This paper proposed a new machine learning method for classifying three
    
     
 
       

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