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A Conexionist Intelligent System for Accounting

Author

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  • Florin APARASCHIVEI

Abstract

Neural networks are a computing paradigm developed from artificial intelligence and brain modelling’s fields, which lately has become very popular in business. Many researchers are seeing neural networks systems as solutions to business problems like modelling and forecasting, but accounting and audit were also touched by the new technology. The purpose of this paper is to present the ability of an artificial neural networks model to forecast and recognize patterns while analyzing 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.

Suggested Citation

  • Florin APARASCHIVEI, 2008. "A Conexionist Intelligent System for Accounting," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(1), pages 71-76.
    • Handle: RePEc:aes:infoec:v:xii:y:2008:i:1:p:71-76
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