استخدام الشبكات العصبية في ترشيد القرارات الاستثمارية

Abstract EN

This study aims to demonstrate the importance of using the neural networks in the process of investment decision making and choosing the investment project that achieves the objectives of the organization.

The problem of research is not to rely on modern technical methods in preparing management accounting information so that it can meet the current challenges facing business organizations.

The importance of the study appears through the increasing need to make administrative decisions as quickly and accurately as possible.

As well as the multiple advantages provided by artificial neural networks as one of the scientific techniques that began to be used in multiple areas.

The RBF neural network was also used in the selection process between investment projects in Nineveh Governorate.

The study concluded with a number of conclusions, including: The superiority of neural networks to the traditional statistical methods, using them in all areas and based on the conclusions reached by the study.

A set of recommendations has been made including: The need for governmental agencies service and financial institutions to adopt the technology of neural networks for the ability to Deal with the vast amount of information and speed of access to the results at the lowest cost