Multiple time-series forecasting on mobile network data using an RNN-RBM model

The purpose of this project is to evaluate the performance of a forecasting model based on a multivariate dataset consisting of time series of traffic characteristic performance data from a mobile network. The forecasting is made using machine learning with a deep neural network. The first part of t...

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Bibliographic Details
Main Author: Bäärnhielm, Arvid
Format: Others
Language:English
Published: Uppsala universitet, Datalogi 2017
Subjects:
RNN
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-315782