Abstract
As a research object of the paper, the amount of real estate investment in Qingdao is thought to be a nonlinear function of six parameters: city resident population, average wages of staff and workers, per capita consumer spending, commodity house sales, GDP and per capita disposable income. In this paper, we use MATLAB software to fit and predict the six parameters, and a time-series predicting model is set up by means of MATLAB toolboxes. The predicted values obtained can help government departments and real estate enterprises to formulate relevant policies and decisions.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Zhang, P., Ma, W., Zhang, T. (2012). Application of Artificial Neural Network to Predict Real Estate Investment in Qingdao. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27311-7_28
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DOI: https://doi.org/10.1007/978-3-642-27311-7_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27310-0
Online ISBN: 978-3-642-27311-7
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