SYMBOLIC MODELING OF DYNAMICAL SYSTEMS USING SOFT COMPUTING TECHNIQUES

Faculty Science Year: 2010
Type of Publication: Theses Pages:
Authors:
BibID 11054643
Keywords : DYNAMICAL SYSTEMS    
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, sQuadratically 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 
   
     
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