التنبؤ بتأخيرات الحركة في شبكات المقاسم الهاتفية : باستخدام نماذج مختلفة من الشبكات العصبونية

Abstract EN

Delays are a major problem in telephone exchange networks and one of the most important factors that affecting service quality.

The increased traffic in these networks due to the increase in services and applications has led to an obvious increase in delays.

The research mainly targeted the process of forecasting peaks of the future delays in the telephone exchanges using different models of static and dynamic neural networks, where different learning algorithms were tested.

The results show that the best performance was obtained using NARX model with LM algorithm.

In this research, the city of Aleppo was taken as a case study.