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APPLICATION OF NEURAL NETWORKS TO STOCK PREDICTION IN "POOL" COMPANIES 

Authors: Oscar Sapena a;  Vincente Botti a; Estefania Argente a
Affiliation:   a Departamento de Sistemas Informaacuteticos y Computacioacuten, Universidad Politeacutecnica de Valencia, Valencia, Spain.
DOI: 10.1080/713827208
Publication Frequency: 10 issues per year
Published in: journal Applied Artificial Intelligence, Volume 17, Issue 7 August 2003 , pages 661 - 673
Number of References: 15
Formats available: PDF (English)
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Abstract

Nowadays, carrying out precise stock predictions is essential for many companies in order to reduce material in storage. It allows these companies to decrease their investment in material. In the particular case of pool companies, this need becomes greater since they have to maintain quality of service as well as minimize investment in fixed assets. In order to make an accurate prediction, we have used artificial intelligence techniques, specifically artificial neural networks.
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