A Hybrid ARIMA-ANN approach for optimum estimation and forecasting of gasoline consumption
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Publication:4603934
DOI10.1051/RO/2016059OpenAlexW2513261682MaRDI QIDQ4603934
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
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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