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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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 |
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