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Model de predicció de la cotització del preu del porcí, basat en la teoria dels expertons i en xarxes neuronals

Authors: Jaile Benítez, Josep Maria;

Model de predicció de la cotització del preu del porcí, basat en la teoria dels expertons i en xarxes neuronals

Abstract

El sector carni constitueix l’activitat econòmica més important dins el sector agroalimentari, del que (a Espanya) representa el 20,6%. El sector carni aporta l’1,7% al PIB espanyol, facturant 16 mil milions d’euros (2006), donant ocupació a més de 85.000 persones, xifres que actualment (2012) perduren malgrat la crisi econòmica. La carn de porcí és la més consumida arreu del món, també a Europa com a Espanya, on representa el 58% de la carn consumida (2005). Aquesta tesi té com a objectiu preliminar, estudiar les forces que influeixen significativament en la cotització del preu del porcí. L’objectiu final és el de dissenyar un Model que ens ajudi a la predicció d’aquest preu amb l’ajuda de les xarxes neuronals artificials

The meat industry is the most important economic activity in the agrofood sector, which (in Spain) is 20.6%. The meat industry contributes to the 1.7% Spanish GDP, billing 16 billion Euros (2006), employing more than 85,000 people, persisting numbers (2012) despite the economic crisis. The pork is the most consumed meat worldwide, in Europe and in Spain, where it represents 58% of the meat consumed (2005). This thesis has the preliminary objective to study the forces that shape (constitute) the price of pork. The final goal is to design a Model that helps us to predict that price with the help of artificial neural networks

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Keywords

Cotización del precio porcino, Tesis i dissertacions acadèmiques, 636 - Explotació i cria d'animals. Cria del bestiar i d'animals domèstics, Meat industry, Sector cárnico, Xarxes neuronals, Variables influents, Redes neuronales, 33, Sector carni, 33 - Economia, 636, Pork price quote, Cotització del preu porcí, Theory of expertons, Teoria d'expertons, Teoría de expertones, Neural networks, Variables influentes

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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