House Price Prediction Model Based on Neural Network

Through an in-depth understanding of house price prediction issues, the paper aims to establish a BP neural network model for house price prediction based on ideas and methods of the BP neural network. By the BP neural network method, the paper realizes sorting, statistics, and analysis of house prices in Chongqing for 10 years as well as the main factor analysis of house prices. Then, correlative analysis is conducted with the software on house prices and their influential factors. Significant correlations are manifested. MATLAB was used to compile relevant programs and a BP neural network model was established for prediction and verification of house prices. Through the market survey, house prices are finally predicted by software.