SOFT COMPUTING FOR MODELLING THE VALUE OF SOCIAL CAPITAL AT RED HAT

• Authors: Julia Siderska
• Languages of publication: EN

Abstracts

EN

The main objective of this paper is to predict the value of social capital at Red Hat Corporation, using a developed neural network model. Training data were collected and calculated based on balance sheets published for the years 2005 - 2012. Five variables were proposed as an input of the neural network. The output variable presented the value of social capital, calculated by fundamental equation [Walukiewicz 2006]. The artificial neural network had been trained in Statistica Automated Neural Network.

Keywords

EN

artificial neural network; social capital; soft computing; open source software

• Publisher: Katedra Ekonometrii i Statystyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Metody Ilościowe w Badaniach Ekonomicznych
• Year: 2014
• Volume: 15
• Issue: 2
• Pages: 223-231

Dates

published

2014

Contributors

author

Julia Siderska

• Department of Business Informatics and Logistics Bialystok University of Technology

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