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- 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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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
To cite this article
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 : https://popups.uliege.be/0037-9565/index.php?id=6125.
About: Mehdi Nosrati
Department of Computer Engineering, Payame Noor University(PNU), P.O.Box,19395-3697 Tehran, Iran
About: Mojtaba Hoseini
Faculty of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran
About: Alireza Shirmarz
Faculty of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran
About: Abbas Mirzaei Somarin
Department of Computer Engineering, Islamic Azad University, Ardebil Branch, Ardebil, Iran
About: Nayereh Hoseininia
Department of Computer Engineering, Payame Noor University(PNU), P.O.Box,19395-3697 Tehran, Iran
About: Morteza Barari
Faculty of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran