Nermeen Kamel Abdelmoniem <br/><br/>
Hybrid optimization techniques for cancer diagnosis models /  
 التقنيات الامثلية المهجنه لتشخيص مرض السرطان 
Nermeen Kamel Abdelmoniem ; Supervised L . F . Abdelal , N . H . Sweilam , A . A . Tharwat  
 - Cairo :   Nermeen Kamel Abdelmoniem ,   2010 
 - 90P. :   charts , facsimiles ;   25cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics 
<br/><br/> Suport vector machine has become an increasingly popular tool for machine learning tasks involving classification regression or novelty detection . Training a support vector machine requires the solution of a very large quadratic programming problem . Ttaditional optimization methods cannot be directly applied due to memory restrictions . Up to now several approaches exist for circumventing the above shortcomings and work well 
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<br/><br/><label>Subjects--Index Terms: </label>Cancer model   Particle swarm optimisation (PSO)  Support vector machine (SVM)