PERFORMANCE ANALYSIS OF AUTOREGRESSIVE AND NEURAL NETWORK MODELS IN MULTIVARIATE TIME SERIES DATA

Time series is the observation of data that is carried out sequentially based on time, such as daily, weekly, and monthly measurements. Time series models are used to predict future values of a variable or error based on past data. One of the time series models is the Autoregressive Integrated Movin...

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Bibliographic Details
Main Author: Ade Nugraha, Tofa
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/75175
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Institution: Institut Teknologi Bandung
Language: Indonesia