Principal Component Analysis Neural Network Hybrid Classification Approach for Galaxies Images

Mohamed Abd Elfattah; Nashwa El-Bendary; Mohamed A. Abou Elsoud; Jan Platoš; Aboul Ella Hassanien

doi:10.1007/978-3-319-01781-5_21

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Principal Component Analysis Neural Network Hybrid Classification Approach for Galaxies Images

Mohamed Abd Elfattah Nashwa El-Bendary Mohamed A. Abou Elsoud Jan Platoš Aboul Ella Hassanien

Year: 2013 Advances in intelligent systems and computing Pages: 225-237 Publisher: Springer Nature

DOI: 10.1007/978-3-319-01781-5_21

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Keywords:

Principal component analysis Pattern recognition (psychology) Computer science Artificial intelligence Artificial neural network Component (thermodynamics) Physics

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Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Computational Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Principal Component Analysis Neural Network Hybrid Classification Approach for Galaxies Images

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