Managing Bank Loans By Using Neural Networks

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 Gradien...

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Main Authors: ramadan al-Brahimi, Nima Abdullah AL-Fakhry AL-Fakhry
Format: Article
Language:English
Published: Mosul University 2022-06-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_174419_d9451566d2ce818952fe2a190cc942df.pdf
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author ramadan al-Brahimi
Nima Abdullah AL-Fakhry AL-Fakhry
author_facet ramadan al-Brahimi
Nima Abdullah AL-Fakhry AL-Fakhry
author_sort ramadan al-Brahimi
collection DOAJ
description 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.
format Article
id doaj-art-8ef2aee55d0b4a069261757205f65caa
institution DOAJ
issn 1815-4816
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language English
publishDate 2022-06-01
publisher Mosul University
record_format Article
series Al-Rafidain Journal of Computer Sciences and Mathematics
spelling doaj-art-8ef2aee55d0b4a069261757205f65caa2025-08-20T03:03:42ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902022-06-0116114915510.33899/csmj.2022.174419174419Managing Bank Loans By Using Neural Networksramadan al-Brahimi0Nima Abdullah AL-Fakhry AL-Fakhry1management Information Systems Department, College, University of Mosulنظم المعلومات الاداریة /کلیة الادارة والاقتصاد / جامعة الموصل / الموصل / العراقThis 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.https://csmj.mosuljournals.com/article_174419_d9451566d2ce818952fe2a190cc942df.pdfneural networksmanaging loans
spellingShingle ramadan al-Brahimi
Nima Abdullah AL-Fakhry AL-Fakhry
Managing Bank Loans By Using Neural Networks
Al-Rafidain Journal of Computer Sciences and Mathematics
neural networks
managing loans
title Managing Bank Loans By Using Neural Networks
title_full Managing Bank Loans By Using Neural Networks
title_fullStr Managing Bank Loans By Using Neural Networks
title_full_unstemmed Managing Bank Loans By Using Neural Networks
title_short Managing Bank Loans By Using Neural Networks
title_sort managing bank loans by using neural networks
topic neural networks
managing loans
url https://csmj.mosuljournals.com/article_174419_d9451566d2ce818952fe2a190cc942df.pdf
work_keys_str_mv AT ramadanalbrahimi managingbankloansbyusingneuralnetworks
AT nimaabdullahalfakhryalfakhry managingbankloansbyusingneuralnetworks