Galaxy images classification using hybrid brain storm optimization with moth flame optimization

Faculty Science Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Journal: Journal of Astronomical Telescopes, Instruments, and Systems SPIE Volume:
Keywords : Galaxy images classification using hybrid brain    
Abstract:
r universe. Most of the machine learning methods were used to improve galaxy image classification. However, these methods suffer from some limitations, such as getting stuck in local point and slow convergence. Therefore, an alternative m
    
     
 
       

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