Research Article

The Complex Neural Network Model for Mass Appraisal and Scenario Forecasting of the Urban Real Estate Market Value That Adapts Itself to Space and Time

Table 3

Input parameters of the model that characterize a house in Saint Petersburg, its geographical location, evaluation time, and the corresponding economic situation in the world, country, and region.

ParameterValue

City index2
Latitude59.936927 degrees
Longitude30.315257 degrees
Prestige level0.95
Type of house walls7
Floor10
Number of floors in the house16
Season1
Dollar rate63.62 roubles
Brent oil price3,530 roubles
GDP109,361 billion roubles
Housing construction in the year preceding the assessment3,471.2 thousand square meters
Mortgage loans in the previous year193.359 billion roubles