To stabilize the commodity housing price becomes critical. The fluctuations of commodity housing price relates to everyone's basic benefits.
商品住宅价格的涨落关系着城市的每根神经，关系着每个人的切身利益，房价已成了人们关注的热点。
Through the research of this paper it shows that artificial neural network (ANN) theory application in commodity housing price is not only feasible but also reliable and practical.
通过本文的研究表明，将人工神经网络延伸应用于商品住宅价格的预测具有一定的可行性、可靠性及实用性。
The average transaction price for new commodity housing slumped to RMB12824 a sqm during the period, a decrease of 24.5% compared to RMB16988 in June.
新建商品房7月平均成交价格为每平米12824元；6月为16988元。
The result indicates that economic aggregate, commodity price and loan interest rate are the important influence factors for the housing price trend.
结果表明，经济总量、物价和贷款利率的波动，都是影响未来房价走势的重要因素。
Housing price and commodity price has recently been social hot-topics, while most researches about the relationship between them are qualitative or simply quantitative.
房价与物价是近年来社会关注的热点，有关两者关系的分析以定性或简单定量为主。
Housing price and commodity price has recently been social hot-topics, while most researches about the relationship between them are qualitative or simply quantitative.
房价与物价是近年来社会关注的热点，有关两者关系的分析以定性或简单定量为主。
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