الفهرس 
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Abstract
Classification of linearly and quadratically separable datasets is the main interest of this thesis. Classification is the field of artificial intelligence (AI) that classifies objects into a number of categories or classes. These objects may be images, signal waveforms, or any type of measurements that need to be classified depending on the application.
Quadratically separable classification is a special case of nonlinear separable (NLS) classification which can separate some nonlinearly separable datasets without needing the complexity of NLS classification methods