Using artificial neural networks (ANN) in projects monitoring dashboards’ formulation
المؤلفون المشاركون
المصدر
Housing and Building National Research Center Journal
العدد
المجلد 14، العدد 3 (31 ديسمبر/كانون الأول 2018)، ص ص. 385-392، 8ص.
الناشر
المركز القومي لبحوث الإسكان و البناء
تاريخ النشر
2018-12-31
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
It has been reported via several researches that the sponsorship involvement is a major factor influencing project success.
These projects which may vary in their benefits, types, sizes, and complexity levels; generate some sort of difficulty for many government organizations managing hundreds of projects in selecting projects to be monitored.
The initial selection of those projects which are being monitored through organization’s dashboards is usually drafted via some criteria that comprise a meaningful group (s) to the top management; and then this selection is altered by forcing few projects in and out.
This study aim is to replace the initial existing manual selection process by an intelligent model.
The proposed model is based on ANN (Artificial Neural Networks) that uses the databases of more than 300 projects out of which are 48 projects that were actually selected to be in the top management monitoring dashboards.
The ANN model was built and tested for accuracy via examining the deviation between the model results and the actual selection.
The test results showed acceptable confidence level in the model results where accuracy was proven to be initially accepted.
The ANN model is expected to evolve and gains more maturity by including more projects that will be introduced in the coming years plans.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Muslim, Amr& Arafah, Muhammad. 2018. Using artificial neural networks (ANN) in projects monitoring dashboards’ formulation. Housing and Building National Research Center Journal،Vol. 14, no. 3, pp.385-392.
https://search.emarefa.net/detail/BIM-900644
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Muslim, Amr& Arafah, Muhammad. Using artificial neural networks (ANN) in projects monitoring dashboards’ formulation. Housing and Building National Research Center Journal Vol. 14, no. 3 (Dec. 2018), pp.385-392.
https://search.emarefa.net/detail/BIM-900644
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Muslim, Amr& Arafah, Muhammad. Using artificial neural networks (ANN) in projects monitoring dashboards’ formulation. Housing and Building National Research Center Journal. 2018. Vol. 14, no. 3, pp.385-392.
https://search.emarefa.net/detail/BIM-900644
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 391-392
رقم السجل
BIM-900644
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر