BP神经网络在城市房屋拆迁估价中的应用  

Application of BP Neural Network in Urban Housing Demolition Appraisal

作　　者：王军武[1] 林晶[1] 

机构地区：[1]武汉理工大学土木工程与建筑学院,湖北武汉430070

出　　处：《华中科技大学学报（城市科学版）》2010年第4期31-35,共5页Journal of Huazhong University of Science and Technology

摘　　要：城市拆迁房屋市场评估价格的高低直接影响拆迁补偿金额的确定,客观公正的评估被拆迁房屋市场价格关系到各方利益和城市发展建设。本文将神经网络理论应用于城市拆迁房屋市场价格的评估,建立了基于BP神经网络的拆迁房屋估价模型,并采用Matlab函数工具箱实现拆迁估价模型的训练、仿真和泛化,最后通过实例验证该方法不仅能够减少估价过程的主观随意性,同时能够提高估价作业的效率,具有简便、客观、高效的特点。Assessment of urban demolition housing market prices directly influence the final price or relocation compensation, therefore, an objective and fair assessment of demolition housing prices is vital to interests of the parties relationship and urban development and construction. The neural network is used to assess urban demo- lition housing market prices, and establish evaluation model for housing demolition and Matlab function toolbox is used to realize training and simulation of valuation models. Finally, this method proven by ease can reduce subjective and arbitrary assessment in evaluation process, but increase the efficiency of the valuation works. It is simple, objective and efficient.

关 键 词：房屋拆迁估价 BP网络 估价模型 

分 类 号：F293.3[经济管理—国民经济]