COMBINED CLUSTER-NEURAL NETWORK APPROACH TO DETERMINISTIC AND PROBABILISTIC PROPERTY VALUATION

Abstract

The purpose of the publication is to substantiate the usage of combined approach, which unites artificial neural networks and clusterization principles and to develop the overall structural model of the artificial networks for the assets valuation applications. We aim to compare this approach with existing algorithms of solving such tasks and to substantiate its efficiency in deterministic and probability ranged valuation of real estate and other types of assets.