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 2
Input parameters of the model that characterize a house in Moscow, its geographical location, evaluation time, and the corresponding economic situation in the world, country, and region.
Parameter
Value
City index
1
Latitude
55.75211 degrees
Longitude
37.59398 degrees
Prestige level
0.95
Type of house walls
7
Floor
10
Number of floors in the house
16
Season
1
Dollar rate
63.62 roubles
Brent oil price
3,530 roubles
GDP
109,361 billion roubles
Housing construction in the year preceding the assessment