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dc.creatorSilva, Jesús
dc.creatorVarela, Noel
dc.creatorMartínez Caraballo, Hugo
dc.creatorGarcía Guiliany, Jesús
dc.creatorCabas Vásquez, Luis Carlos
dc.creatorNavarro Beltrán, Jorge
dc.creatorLeón Castro, Nadia
dc.description.abstractThe prices of products belonging to the basic family basket are an important component in the income of producers and consumer spending; its excessive variations constitute a source of uncertainty and risk that affects producers, since it prevents the realization of long-term investment plans, and can refuse lenders to grant them credit. His study to identify these variations, as well as to detect their sources, is then of great importance. The analysis of the variations of the prices of the basic products over time, include seasonal patterns, annual fluctuations, trends, cycles and volatility. Because of the advance in technology, applications have been developed based on Artificial Neural Networks (ANN) which have helped the development of massive sales forecast on consumer products, improving the accuracy of traditional forecasting systems. This research uses the RNA to develop an early warning system for facing the increase in basic agricultural products, considering seasonal
dc.publisherInternational Symposium on Neural Networksspa
dc.rightsCC0 1.0 Universal*
dc.subjectMultiple Input Multiple Outputspa
dc.subjectMultilayer perceptronspa
dc.subjectPredictive modelspa
dc.subjectCyclic variationspa
dc.subjectSupport vector machinesspa
dc.titleAn Early Warning Method for Basic Commodities Price Based on Artificial Neural Networksspa
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