Abstract: Prediction accuracy of traditional assessment methods is not enough,because of the complicated nonlinear relationship between the real estate prices and influencing factors.This paper proposed an real estate appraisal predictive model based on genetic algorithms and BP neural network.It uses BPNN to determine the function mapping relationship impact factor and evaluated price of the real estate prices,which uses GA to optimize weights and thresholds of BPNN.The method improves the convergence rate of BPNN and solves the problem of getting into local extreme point.Finally,the computer simulation results of 100 sample data show that,the proposed method is valid and accurate for real estate appraisal.

Key words: Genetic algorithm,BP neural network,Real estate appraisal