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

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.