دراسة تأثير تغييرات بارامترات الشبكة العصبونية على أدائها

This research aims at studying and designing a three-layer neural network, capable of dealing with massive data, relying on the back-propagation error method. It also explores the effect of parameters-change (learning step, number of nodes, type of activation function for a few different input signals) and the major impact, caused by this change on the neural network performance. The results of these experiments have demonstrated the extreme sensitivity of the designed network which depends on the back-propagation mechanism to change these parameters.