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SVR-based Price Forecasting of Commodity House in Shanghai
Pages: 25-28
Year: Issue:  1
Journal: Journal of Gansu Sciences

Keyword:  Price forecasting of commodity houseForecasting;
Abstract: 商品房价格受诸多因素影响,研究因素与商品房价格的关系是当前研究房价的一个热点.从1998-2013年的上海市商品房基本信息中,选取了对商品房价格产生影响的8个因素,利用LIBSVM工具建立了基于SVR的商品房价格预测模型,并对1998-2013年的商品房价格进行预测.实验表明,SVR模型比ARIMA模型具有更好的预测值,预测能力更强.
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