Mathematical modeling of the process of assessing the value of rental property using artificial neural networks

Abstract

Mathematical modeling of the process of assessing the value of rental property using artificial neural networks

Evsin V.A., Evsina V.A., Prodan E.A., Shirobokova S.N.

Incoming article date: 01.01.2019

This article deals with the problem of determining the cost of renting real estate. The idea of minimizing the absolute error function using artificial neural networks is substantiated. Particular attention is paid to the process of determining the input data of the neural network. In particular, the problems of determining such parameters as the improvement of the region and premises. The article clarifies the features of determining the weight coefficients to determine the technical equipment of the room using a genetic algorithm. A model of neural network architecture is proposed. The model of change of weight coefficients is described. As a result, the model was tested on test data, and the model of data correction taking into account price dynamics was described.

Keywords: neural network, data mining, data analysis, real estate rental, regression, genetic algorithm, Informatics, machine learning, cost estimation, modeling, extrapolation