TY - GEN N1 - Informatyka Ekonomiczna = Business Informatics, 2018, Nr 1 (47), s. 72-84 N2 - The aim of this paper is to present, in theoretical and application terms, artificial neural networks (ANNs) as a method of estimating the product cost. The first part of the article reviews the methods used to estimate the product cost. The basic approaches to the problem of product cost estimation, presented by various authors, were described. In the second part an empirical study using artificial neural networks was conducted. Two research methods were used in this paper: literature analysis and empirical research carried out in the form of an extensive case study. The test object is a new generation induction motor. The main research problem of the article is the modelling of artificial neural networks for the estimation process of product costs with advanced production technology. The test procedures focus on the application aspects. The conclusions discuss the usefulness and advantages of using ANN models in estimating the costs of products L1 - http://www.dbc.wroc.pl/Content/63304/Leszczynski_An_Artificial_Neural_Networks_Approach_2018.pdf M3 - artykuł L2 - http://www.dbc.wroc.pl/Content/63304 PY - 2018 KW - cost estimation model KW - artifical neural networks KW - product cost KW - prognozowanie kosztów KW - sztuczne sieci neuronowe KW - koszt produktu C1 - Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy A1 - Leszczyński, Zbigniew A1 - Jasiński, Tomasz PB - Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu C6 - Dla wszystkich zgodnie z licencją LA - eng CY - Wrocław ID - DOI: 10.15611/ie.2018.1.06 T1 - An artificial neural networks approach to product cost estimation. The case study for electric motor UR - http://www.dbc.wroc.pl/dlibra/publication/edition/63304 T2 - Sztuczne sieci neuronowe w prognozowaniu kosztów produktu. Studium przypadku dla silnika elektrycznego ER -