ANALYSIS OF NEURAL NETWORK AND TIME SERIES MODELS FOR PREDICTION OF THE NUMBER OF VEHICLES ENTERING BANDUNG CITY THROUGH THE PASTEUR TOLL

Prediction of traffic information is a complicated problem because of the many factors that influence it. Toll roads are often the main focus in predicting traffic information. Data on the number of vehicles on toll roads is arranged based on the time of observation, thus forming a time series da...

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Bibliographic Details
Main Author: Rakaditya, Difa
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/39141
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Institution: Institut Teknologi Bandung
Language: Indonesia