Abstract
An increase in a company value is the main goal of the firm activity that creates opportunities for long term functioning and its development. The goal realization makes the investors see the company better and the company can find the capital easier. Many factors (external and internal) cause the company value. The paper presents the factors that should be taken into consideration in the process of company valuation; moreover, the articles presents a method of drivers value forecasting. The authors proposed the method based on artificial neural networks. The structure and simulation of the model is conducted. The implementation of the model is presented on the example of “Hama-Bis” company.
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© 2013 Springer-Verlag Berlin Heidelberg
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Wilimowska, Z., Krzysztoszek, T. (2013). The Use of Artificial Neural Networks in Company Valuation Process. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_27
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DOI: https://doi.org/10.1007/978-3-642-34300-1_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34299-8
Online ISBN: 978-3-642-34300-1
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