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العنوان
SUPPORT VECTOR MACHINES VS.ARTIFICIAL NEURAL NETWORKS CLASSIFICATION /
الناشر
Rania Nashaat Hussein Mohammed El-Khateeb ,
المؤلف
El-Khateeb,Rania Nashaat Hussein Mohammed
هيئة الاعداد
باحث / رانيا نشأت حسين محمد الخطيب
مشرف / النميري علام زناتي
مشرف / عبد المعطي محمد عبد الله
الموضوع
NEURAL NETWORKS
عدد الصفحات
P. 92:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Computer Networks and Communications
تاريخ الإجازة
1/1/2007
مكان الإجازة
جامعة سوهاج - كلية العلوم - mathematics
الفهرس
Only 14 pages are availabe for public view

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Abstract

In this thesis we concentrate on kernel based machines ,because they are one of the recent methods for statistiscal learning that addresses both classification and regression oroblems.although they can be considered as an alternative to neural networks ,they have great advantage ,with respect to neural networks that we will explain in our thesis.