Prediction of the bottled propane gas sales using a neural network-based model
by Horacio Paggi; Franco Robledo; Aldo Portela
International Journal of Metaheuristics (IJMHEUR), Vol. 5, No. 3/4, 2016

Abstract: This work presents an application of the artificial neural networks (ANN) in the prediction of the time series of the weekly wholesale of bottled propane gas (13 kg bottles). For this purpose, several networks with different topologies were built. Many schemas of ensembles were applied to reduce prediction of errors. Additionally, given the scarce data available, it was mandatory to minimise the input dimensionality of the networks and to do this, with a rational and systematic approach, considerations about stochastic dynamical systems were made and generalisations of the Takens-Mañé's theorem for non-deterministic systems were used.

Online publication date: Sat, 24-Dec-2016

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