李恒凯,柯江晨,王秀丽

• 1:江西理工大学建筑与测绘工程学院
• 2:江西理工大学经济管理学院

摘要(Abstract)：

针对房产税征收对住宅房产价格批量评估的需求问题,该文提出融合GIS和BP神经网络的住宅房产批量评估模型。该模型以特征价格理论为依据,利用GIS数据分析方法构建了16个住宅房产价格的影响因子及量化指标,对房产交易案例库及待估房产进行批量量化,然后利用BP神经网络挖掘房产估价因子与价格之间的对应关系,对量化的待估房产进行批量评估,并开发了相应的软件系统。该文以赣州市章贡区10处待估房产为例,对模型进行验证。结果表明,估算出的房产价格与实际成交价格接近,模型具有较高准确性。

关键词(KeyWords)： 房产估价;地理信息系统;BP神经网络

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41561091);; 江西省自然基金面上项目(20161BAB206143);; 江西省教育厅科学研究课题项目(GJJ14416);; 江西省社会科学规划课题项目(14YJ20)

作者(Author): 李恒凯,柯江晨,王秀丽

DOI: 10.16251/j.cnki.1009-2307.2018.08.017

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