Comparison Of Multiple Regression And Neural Network Application In Wuhan City Real Estate Market Forecast

The real estate is a complex integrated systems engineering, which is therelationshipbetween the lifeblood of the national economy. The real estate market has cyclingcharacteristics. Too large fluctuation will make aggainst the continuing healthy and stabledevelopment of the real estate market, thereby affecting the sustainable development ofthe national economy. Prediction of the real estate market forecast is the volatility of realestate related indicators. the establishment of the advanced and scientific real estateforecast system can effectively avoid the real estate market from the non normalfluctuation and keep it developing healthy and stable. This is the purpose of this study.This article first introduces the prediction model, multiple regression model and neuralnetwork model. It includes principles, algorithms and testing of these two models, as wellas BP neural network model which applied in this paper. Secondly, This article utilizes themature use of multiple regression model and BP model in predicting and patternrecognition. With the real estate market in Wuhan as a object, SPSS, Matlab statistical datamining tools are used according to Wuhan City real estate market relevant data to establishthe corresponding model. This article focuses on the model and the method of BP neuralnetwork theory of real estate based on Prediction and discusses two models of the realestate forecast. Finally, based on the result of the analysis and the comparison of twodifferent prediction methods, this paper carries out the consolidated forecast conclusionsand proposes relevant policies and regulation. The result of analysis of forecast is inaccordance whith the pratical situation of the real estate development in Wuhan. Thisindicates that the model established in the research is feasible, with full theory analysisandgood practical value. Through the analysis on the prediction results we can found thatthe actual situation which accords with the Wuhan City real estate development.So itshows that the real estate forecasting model proposed in this paper is meaningful, thetheoretical analysis is sufficient, forecasting the analysis has certain practical value.