Study Of Shenyang Ordinary Commercial Housing Price Based On Chaos Theory

With the development of commercial real estate market in China, the real estate industry make a spurt of progress, provide proper guarantee for people's life. The real estate market up to now,It has become a source of China's economic development, and the core of all areas of research and development, resulting in a large number of real estate-related professional scholars engaged in the investigation and research work in the field of real estate market, every scholar try an own strength force to take pulse for real estate.Since the advent of chaos theory has been constantly changing the world, making many complex disorder phenomena before becoming a chapter to follow, rational, so using the dynamics of chaos theory to study the area is the promotion of ways and means, and it will contribute to the specification and development of the industry. Especially for the real estate industry, chaotic study on China's real estate market, has a profound impact on the development of such an complex and important industry.Firstly, through the real estate price formation and influencing factors were discussed, analyzed, study fluctuations in the prices reasonable and non-rational factors, and the combination of chaos theory, find out chaotic attractor of the real estate market price time series, prove the chaotic feature of the real estate market. Secondly on housing forecast method is introduced and compared, analysis the advantages and disadvantages of various methods, finally choose the BP neural network prediction model is applied in shenyang ordinary commodity housing price time series. Select MATLAB software For processing the data and Preparation of model, through MATLAB first to select out the important factors that affect the real estate market data to be normalized, and then built a three layer of simple BP neural prediction model which contains one input layer, a hidden layer, an output layer, Into the data, through its unique "Studying" and "training" process draw after processing data and the fitting graphics. Finally, application of the model to simulation of Shenyang ordinary commercial housing market price, find the model prediction accuracy and comparison with other models, indicating the accuracy and operability advantages of the model in terms of the model to predict the room, to pave the way to future scholars in the field application model and continue research work. Eventually give advice and opinions that may exist in this study the issue and to continue the work of the research topic.