Managing Bank Loans By Using Neural Networks | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 18, Volume 16, Issue 1, June 2022, Pages 149-155 PDF (1.22 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2022.174419 | ||
| Authors | ||
| ramadan al-Brahimi* 1; Nima Abdullah AL-Fakhry AL-Fakhry2 | ||
| 1management Information Systems Department, College, University of Mosul | ||
| 2نظم المعلومات الاداریة /کلیة الادارة والاقتصاد / جامعة الموصل / الموصل / العراق | ||
| Abstract | ||
| This study aims at recognizing the role of neural networks in deciding administrative decisions in banks. To achieve the aims, the study developed a suggested model that depends on artificial neural networks as a stabilization tool to support loans management decisions. The Descent Conjugate Gradient algorithm is adopted to build the suggested model through checking loan demands according to the various banking instructions. The results showed that using such techniques in administrative business was a success through evaluating loan demands and deciding the most appropriate ones, with the possibility of refusing or accepting the agent’s demand, and also the possibility of deciding the loans which were demanded more than the other types. | ||
| Keywords | ||
| neural networks; Managing Loans | ||
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