استخدام الشبكات العصبونية لدعم قرار تصنيف الكفالات المالية : بالتطبيق على الجمعيات الخيرية في مدينة حلب

الملخص EN

This paper aims to build a model using the artificial neural network (ANN) to help decision makers to decide the classification of financial guarantees in charities in Aleppo.

By using the descriptive analytical method and building a multi - layered neural network based on multivariate database of different kind and nature, and comparing the result with Discriminant Analysis as one of the most Classification methods.

This study was applied to a number of charities in Aleppo affiliated to the Union of charities for the years 2016 - 2019, which contain the section of financial guarantees.

The study found that the importance of using the neural network in making decision to classify financial guarantees in charities, where the correct rating in classification which was clearly higher than the discriminant analysis.

In addition, the study showed the importance of the variables of age and the number of sponsored to make a decision, which leads to making decisions with the highest rate and in a timely manner.