مشروع البحث:
Development of High Efficiency Optimization Algorithm based on New Topology in Particle Swarm Optimization for Parkinson’s Disease

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المساهمين
الممولين
رقم التعريف
235
الباحث
Hawa Alrawayati
المشرفين
منشورات
وحدات تنظيمية
الوصف
weight strategy. Also, the ant colony optimization method and the genetic algorithm has been used to reduce the features number from the dataset. For classification the support vector machine is used and compared with other methods. Also, for performance analysis the confusion matrix is used.
الكلمات الدالة
Keywords: Particle Swarm Optimization, Multiple Inertia Weight, Parkinson’s disease, Support vector Machine