Self-adaptive Intelligent System for Mass Evaluation of Real Estate Market in Cities
This article is devoted to the method of creating an intelligent neural
network system. Unlike existing similar systems, the proposed system does not
require frequent updates, because it is able to adapt itself to the constantly
changing state of the economy and to the peculiarities of a particular region.
Besides, the proposed system allows performing scenario forecasting of regional
real estate markets depending on virtually changing economic parameters such
as the dollar rate, the market price of oil, gross domestic product and gross
regional product, the volume of housing construction in the region, the
parameters of the state’s credit policy, etc.