Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting

Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting

Applicability of neural nets in time series forecasting has been considered and researched. For this, training of neural network on various time series with preliminary selection of optimal hyperparameters has been performed. Comparative analysis of received neural networking forecasting model with...

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Bibliographic Details
Main Author: S. V. Sholtanyuk
Format: Article
Language:Russian
Published: Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center 2019-08-01
Series:Цифровая трансформация
Subjects:
neural network
training of neural network
hyperparameters
forecasting accuracy and stability
mae
linear regression
autoregression
ordinary least squares
Online Access:https://dt.bsuir.by/jour/article/view/174
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