Forecasting Residential Real Estate Prices Using Deep Learning

For properly make decisions in the real estate market, the process of forecasting the prices of residential real estate is very important. The aim of this research is to develop a method for forecasting residential real estate prices, using deep learning. The multi-layer perceptron with Bayesian optimization has been used. The results show that the developed approach can make satisfactory predictions, close to the real values.