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首页> 外文会议>IEEE international conference on industrial engineering and engineering management;IEEM'2009 >Analysis of Influencing Factors in Real Estate Prices Based on Stochastic Gradient Regression Model
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Analysis of Influencing Factors in Real Estate Prices Based on Stochastic Gradient Regression Model

机译：基于随机梯度回归模型的房地产价格影响因素分析

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摘要

The components of house prices and several main influencing factors partially affected by the policies in the market price system were analyzed in this thesis. Then the stochastic gradient regression theory was introduced briefly. The method of the stochastic gradient regression was taken to analyze the real data of Tianjin commercial real estate sale prices in the past decade. The relativity analysis results of the factors influencing housing prices in Tianjin were shown by using stochastic gradient regression model according to the relevant data of Tianjin housing prices after 1998. The influencing degree that the main factors affected the changes of Tianjin commercial real estate prices during the recent years were explained in detail and concluded in this paper.
机译：本文分析了房价的构成因素以及部分受市场价格政策政策影响的主要影响因素。然后简要介绍了随机梯度回归理论。运用随机梯度回归的方法对天津市近十年来商品房销售价格的真实数据进行了分析。根据1998年以后天津市房价的相关数据，采用随机梯度回归模型对天津市房价的影响因素的相关性分析结果。本文对近年来进行了详细的解释和总结。

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