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基于神经网络的房地产估价模型研究及其Matlab实现
引用本文:张晓平,周芳芳,谢朝. 基于神经网络的房地产估价模型研究及其Matlab实现[J]. 技术经济与管理研究, 2009, 0(1)
作者姓名:张晓平  周芳芳  谢朝
作者单位:1. 抚州仁信房地产价格评估事务所有限公司,江西,抚州,344000;东华理工大学地球科学与测绘工程学院,江西,抚州,344000
2. 抚州仁信房地产价格评估事务所有限公司,江西,抚州,344000
摘    要:研究目的:分析人工神经网络应用于房地产估价的思路以及估价流程,采用Madab神经网络工具箱函数编程采实现基于神经网络的房地产估价模型的构建、训练与仿真.研究方法:文献资料法和案例分析法.研究结果:以训练样本为基础,建立基于神经网络的房地产估价模型,用测试样本检验,得出估价模型的精度较高.研究结论:神经网络对包含多种因素影响的房地产估价具有优势,基于神经网络的房地产估价模型具有很强的实用性和可操作性.

关 键 词:神经网络  房地产估价  模型

Research and Realization with Matlab on Appraisal Model of Real Estate based on Artifical Neural Network
ZHANG Xiao-ping,ZHOU Fang-fang,XIE Zhao. Research and Realization with Matlab on Appraisal Model of Real Estate based on Artifical Neural Network[J]. Technoeconomics & Management Research, 2009, 0(1)
Authors:ZHANG Xiao-ping  ZHOU Fang-fang  XIE Zhao
Affiliation:ZHANG Xiao-ping1,2,ZHOU Fang-fang1,XIE Zhao1
Abstract:Research purpose:based on the analization of the theory and process of appraising of real estate with Artifical Neural Network,With the introduction of the programming of tool case function,appraisal model of real estate based on Artifical Neural Network is fund,trained and simulated.Research method:references and exampling.Research result:the appraisal model of real estate based on training samples is tested to be accurate by testing samples.Research conclusion:Artifical Neural Network is advantage at appr...
Keywords:Matlab
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