Optimum prediction and forecasting of wheat demand in Iran
Year of publication: |
2021
|
---|---|
Authors: | Babazadeh, Reza ; Shamsi, Meisam ; Shafipour, Fatemeh |
Published in: |
International journal of applied management science : IJAMS. - Genève [u.a.] : Inderscience Enterprises, ISSN 1755-8921, ZDB-ID 2471980-8. - Vol. 13.2021, 2, p. 141-151
|
Subject: | wheat demand | forecasting | ANN | artificial neural network | regression models | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Iran | Weizenmarkt | Wheat market | Nachfrage | Demand | Weizen | Wheat | Weizenanbau | Wheat production | Regressionsanalyse | Regression analysis | Prognose | Forecast | Theorie | Theory |
-
An econometric model for wheat price forecasting in Iran
Moghaddasi, Reza, (2016)
-
Combination forecasts of tourism demand with machine learning models
Claveria, Oscar, (2016)
-
Comparison of statistical and machine learning methods for daily SKU demand forecasting
Spiliotis, Evangelos, (2022)
- More ...
-
Rahimiaghdam, Samad, (2022)
-
A hybrid ARIMA-ANN approach for optimum estimation and forecasting of gasoline consumption
Babazadeh, Reza, (2017)
-
Omrani, Hashem, (2022)
- More ...