• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Electronic Journals Library, Crossref, Ulrich's Periodicals Directory, MESLibrary, etc.
    • E-mail: joebm.editor@gmail.com
JOEBM 2013 Vol.1(1): 146-149 ISSN: 2301-3567
DOI: 10.7763/JOEBM.2013.V1.32

Application of a Neural Network Model for Solving Prediction Problems in Business Management

Kosa Golic

Abstract— In the field of business management many prediction problems such as prediction of market demand, product prices, project cost flow, product quality, etc., are very complex, uncertain, dynamic, mutable, and usually they are not adequately modeled by statistical or classical mathematical methods based on crisp sets and traditional logic. This paper shows benefits that could be achieved by applying a model based on Artificial Neural Network (ANN) for solving certain type of prediction problems, because it can better deal with uncertainty, partial truth, incomplete data and complexity. A model based on ANN for solving prediction problems is first defined and explained. A case study for price estimation of the apartments in the city Budva, Montenegro, is considered and the results are discussed. The main factors influencing the apartment prices are established and analyzed. The benefits of the ANN model are pointed out.

Index Terms— Apartment price calculation, artificial neural network, prediction model, price evaluation.

Kosa Golic is with the School of Construction Management, University Union Nikola Tesla, 11000 Belgrade, Serbia (e-mail: kosa.golic@live.com).


Cite: Kosa Golic, Member, IEDRC, IACSIT, " Application of a Neural Network Model for Solving Prediction Problems in Business Management," Journal of Economics, Business and Management vol. 1, no. 1, pp. 146-149, 2013.

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