Record Details

Calculating the Transport Density Index from Some of the Productivity Indicators for Railway Lines by Using Neural Networks

Journal of Engineering


Field	Value

Title	Calculating the Transport Density Index from Some of the Productivity Indicators for Railway Lines by Using Neural Networks

Creator	Mohamed, Sawsan Rasheed Burhan, Abbas Mohammed Mohammed Hadi, Ahmed Mohammed Ali

Description	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.

Publisher	College of Engineering \| University of Baghdad

Date	2016-09-01

Type	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article

Format	application/pdf

Identifier	http://joe.uobaghdad.edu.iq/index.php/main/article/view/150

Source	مجلة الهندسة; مجلد 22 عدد 9 (2016): Journal of Engineering (Eng. J.); 1-19 Journal of Engineering; Vol 22 No 9 (2016): Journal of Engineering (Eng. J.); 1-19 2520-3339 1726-4073

Language	eng

Relation	http://joe.uobaghdad.edu.iq/index.php/main/article/view/150/134

Rights	Copyright (c) 2016 Eng. J.