A Hybrid ARIMA-ANN approach for optimum estimation and forecasting of gasoline consumption

DOI10.1051/RO/2016059OpenAlexW2513261682MaRDI QIDQ4603934

Reza Babazadeh

Publication date: 23 February 2018

Published in: RAIRO - Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1051/ro/2016059

zbMATH Keywords

artificial neural networksforecastingARIMAmulti layer perceptrongasoline consumption

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics in engineering and industry; control charts (62P30) Economic time series analysis (91B84) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Time series forecasting using a hybrid ARIMA and neural network model
• Model identification of ARIMA family using genetic algorithms
• Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting
• An ARMA order selection method with fuzzy reasoning.

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