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- Volume 85 - Année 2016
- Actes de colloques
- Special edition
- Application of MLP and RBF Methods in Prediction of Travelling within thecity
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Mehdi Nosrati, Mojtaba Hoseini, Alireza Shirmarz, Abbas Mirzaei Somarin, Nayereh Hoseininia & Morteza Barari
Application of MLP and RBF Methods in Prediction of Travelling within thecity
(Volume 85 - Année 2016 — Actes de colloques — Special edition)
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Version PDF originaleAbstract
Forecasting ofTravelling within the city demand is necessary for the correct operations of subway stations. This includes the provision of station security, management and better service to passengers will be. In this paper we are compared multilayer perceptron(MLP) and Radial Basis Function (RBF) models together for prediction of travelling within the city. The models are trained and assessed on dataset of Aliabad subway station in Tehran.
Keywords : artificial neural network, multilayer perceptron, radial basis function., urban travels
Para citar este artículo
Mehdi Nosrati, Mojtaba Hoseini, Alireza Shirmarz, Abbas Mirzaei Somarin, Nayereh Hoseininia & Morteza Barari, «Application of MLP and RBF Methods in Prediction of Travelling within thecity», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 85 - Année 2016, Actes de colloques, Special edition, 1392 - 1396 URL : http://popups.ulg.be/0037-9565/index.php?id=6125.
Acerca de: Mehdi Nosrati
Department of Computer Engineering, Payame Noor University(PNU), P.O.Box,19395-3697 Tehran, Iran
Acerca de: Mojtaba Hoseini
Faculty of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran
Acerca de: Alireza Shirmarz
Faculty of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran
Acerca de: Abbas Mirzaei Somarin
Department of Computer Engineering, Islamic Azad University, Ardebil Branch, Ardebil, Iran
Acerca de: Nayereh Hoseininia
Department of Computer Engineering, Payame Noor University(PNU), P.O.Box,19395-3697 Tehran, Iran
Acerca de: Morteza Barari
Faculty of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran