Multisteps Sales Forecasting using LSTM Compared to GMDH
نویسندگان
چکیده
منابع مشابه
Forecasting Sales Using Neural Networks
In this paper neural networks trained with the back propa gation algorithm are applied to predict the future values of time series that consist of the weekly demand on items in a supermarket The in u encing indicators of prices advertising campaigns and holidays are taken into consideration The design and implementation of a neural network forecasting system is described that has been installed...
متن کاملSales Forecasting Using Neural Networks
Neural networks trained with the back propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on items in a supermarket The in uencing indicators of prices advertising campaigns and holidays are taken into con sideration The design and implementation of a neural network forecasting system is described that has been developed as a prototype...
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Traditionally, statistical time series methods like moving average (MA), autoregression (AR), or combinations of them are used for forecasting sales. Since these models predict future sales only on the basis of previous sales, they fail in an environment where the sales are more influenced by exogenous variables such as size, price, color, climatic data, effect of media, price changes or campai...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2021
ISSN: 0975-8887
DOI: 10.5120/ijca2021921283