REAL ESTATE PRICE PREDICTION MODEL BASED ON FUZZY NEURAL NETWORKS

In order to predict the new real estate price, the factors affecting the real estate price were established by carrying out a survey of recently completed projects in the local environment. And a fuzzy neural network prediction model was developed. The model predicts the appropriate price for a new real estate by learning from historical data on the correlations between various factors that influence the prices of real estates and the actual selling prices. The experimental result shows that the fuzzy neural network prediction model has strong function approximation ability and is suitable for real estate price prediction depending on the quality of the available data.