Presented at the 3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) (ISAS2019-ENS), Ankara, Turkey, Apr 19, 2019

SETSCI Conference Proceedings, 2019, 4, Page (s): 291-296 , https://doi.org/

Published Date: 01 June 2019    | 676     8

Today, artificial intelligence, which has been used in all areas of life, has been used effectively in real estate housing market researches. Artificial intelligence, one of the techniques of artificial intelligence, inspired by the working principle of human brain cells, artificial neural networks, were used in residential rent return research. Artificial neural networks collect information about any problem and decide on the results obtained by classification. If he encounters a problem he has not encountered before, he solves complex problems by using the information he has learned before. By taking advantage of this advantageous aspect of artificial neural networks, factor data such as the distance to subway stations, parks and important street-streets are given to the system. Test data was applied to this system, which was trained to investigate the effects of a real estate residential location on residential rent. However, only input parameters have been given to the system at this stage. The results obtained after the study show that artificial neural networks are an effective method in the estimation of housing estates.

Keywords - Artificial intelligence, Artificial neural networks, Real estate, Estate housing , Predict rent

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