A neural network model for sales analysis

Florin Aparaschivei ()
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Florin Aparaschivei: The Department of Economics, Quantitative Analysis and Business Information Systems, Faculty of Economics and Business Administration, Alexandru Ioan Cuza University

Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), 2007, vol. 54, 36-41

Abstract: Neural networks are a computing paradigm developed from the field of artificial intelligence and brain modelling, which lately is becoming very popular in business. Many researchers are seeing neural networks systems as solutions to business problems like modelling and forecasting. The purpose of this paper is to present the ability of an artificial neural networks model to forecast and recognize patterns when analysing company's sales evolution. The monthly sales evolutions are considered a time-series and the target is to observe the ability of the investigated model to make predictions.

Keywords: artificial neural networks; accounting; predictions; sales analysis (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:aic:journl:y:2007:v:14:p:36-41

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