Modeling neural networks for assessing the market value of a residential property.

Keywords: modeling, neural networks, training, cost estimation, residential real estate.

Abstract

The concept of a system using a multilayer perceptron for assessing the market value of residential real estate objects is presented. The selection of factors affecting the market value of apartments has been completed and substantiated. Modeling was carried out in the Deductor Studio Academic environment and the optimal architecture of the multilayer perceptron and its parameters were established.

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Published
2020-12-15
How to Cite
Levitskaya , T., & Zhelezov, D. (2020). Modeling neural networks for assessing the market value of a residential property . COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (41), 59-64. https://doi.org/10.36910/6775-2524-0560-2020-41-10