Title :
Improving forecasting accuracy in the case of prepared frozen foods trough the utilization of genetic algorithm
Author :
Higuchi, Yuki ; Takeyasu, Hiromasa ; Takeyasu, Kazuhiro
Abstract :
We have proposed a new method of estimation of smoothing constant in ESM before [1]. Focusing that the equation of ESM is equivalent to (1,1) order ARMA model equation, a new method of estimation of smoothing constant in ESM was derived.
Keywords :
autoregressive moving average processes; estimation theory; food products; forecasting theory; genetic algorithms; smoothing methods; ESM; estimation method; exponential smoothing method; forecasting accuracy; genetic algorithm; order ARMA model equation; prepared frozen foods; smoothing constant; Accuracy; Equations; Forecasting; Market research; Mathematical model; Production; Smoothing methods;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044669
