Investment decision management: Prediction of the cost and period of commercial building construction using artificial neural network

Abstract

This paper illustrates the use of artificial neural networks with implementation of heuristic algorithms for the purposes of presenting the predicted values of commercial building construction. The principles and data have been elaborated based on the analysis of the relevant parameters taken from approx. 50 buildings offering the investors a possibility of predicted values of estimated period and costs of building construction. The paper shows the possibilities of use of neural networks in investment decision-making and project management itself in this field.