Study On The Development Trend Of Commercial Housing Price In Wenzhou Based On BP Neural Network Model

We predicted and analyze the trend of commercial housing price inthe main city subdivision of Wen Zhou in recent years through theestablishment of BP neural network model for Wen Zhou commercialhousing prices. It will be a very good method for commercial housingprice forecast. The study results show that in the validation of the trainingsamples, the relative error of output price and actual prices is within10%for88.4%samples，in the validation of testing samples, the relative errorof output price and actual prices is within10%for all samples, and themaximum relative error is only9.73%. We find that the indicating modelof Wen Zhou commercial housing prices is effective. The network modelcan be applied to the region’s commercial housing price forecast. At last,we forecast the price trend for some opening projects in the main citysubdivision of Wen Zhou, using the established neural network model.