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احتساب مؤشر كثافة النقل من بعض مؤشرات الإنتاجية لخطوط سكك الحديد باستخدام الشبكات العصبية
Other Title(s)
Calculating the transport density index from some of the productivity indicators for railway lines by using neural networks
Joint Authors
عباس محمد برهان
هادي، أحمد محمد علي
سوسن رشيد محمد
Source
Issue
Vol. 22, Issue 9 (30 Sep. 2016), pp.1-19, 19 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2016-09-30
Country of Publication
Iraq
No. of Pages
19
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
The efficiency evaluation of the railway lines performance is done through a set of indicators and criteria, the most important are transport density, the productivity of enrollee, passenger vehicle production, the productivity of freight wagon, and the productivity of locomotives.
This study includes an attempt to calculate the most important of these indicators which transport density index from productivity during the four indicators, using artificial neural network technology.
Two neural networks software are used in this study, (Simulnet) and (Neuframe), the results of second program has been adopted.
Training results and test to the neural network data used in the study, which are obtained from the international information network has showed that the error rate in the training and the testing process was about (10%) and that the results of the network query has given the results of acceptable accuracy statistically so that it was better than results obtained from multiple linear regression equation for the same data.
American Psychological Association (APA)
سوسن رشيد محمد وعباس محمد برهان وهادي، أحمد محمد علي. 2016. احتساب مؤشر كثافة النقل من بعض مؤشرات الإنتاجية لخطوط سكك الحديد باستخدام الشبكات العصبية. مجلة الهندسة،مج. 22، ع. 9، ص ص. 1-19.
https://search.emarefa.net/detail/BIM-709812
Modern Language Association (MLA)
سوسن رشيد محمد....[و آخرون]. احتساب مؤشر كثافة النقل من بعض مؤشرات الإنتاجية لخطوط سكك الحديد باستخدام الشبكات العصبية. مجلة الهندسة مج. 22، ع. 9 (أيلول 2016)، ص ص. 1-19.
https://search.emarefa.net/detail/BIM-709812
American Medical Association (AMA)
سوسن رشيد محمد وعباس محمد برهان وهادي، أحمد محمد علي. احتساب مؤشر كثافة النقل من بعض مؤشرات الإنتاجية لخطوط سكك الحديد باستخدام الشبكات العصبية. مجلة الهندسة. 2016. مج. 22، ع. 9، ص ص. 1-19.
https://search.emarefa.net/detail/BIM-709812
Data Type
Journal Articles
Language
Arabic
Notes
يتضمن ملاحق : ص. 13-19
Record ID
BIM-709812