Now showing items 1-3 of 3
An early warning method for agricultural products price spike based on artificial neural networks prediction
(Universidad de la Costa, 2020)
In general, the agricultural producing sector is affected by the diversity in supply, mostly from small companies, in addition to the rigidity of the demand, the territorial dispersion, the seasonality or the generation ...
Demand forecasting method using artificial neural networks
(Universidad de la Costa, 2019)
Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This ...
Early warning method for the commodity prices based on artificial neural networks: SMEs case
(Procedia Computer Science, 2019)
Applications based on Artificial Neural Networks (ANN) have been developed thanks to the advance of the technological progress which has permitted the development of sales forecasting on consumer products, improving the ...