基于BP神经网络的工业遗产评价模型建构  

Construction of Industrial Heritage Evaluation Model Based on BP Neural Network

作　　者：曲薇[1] 宋文静 

机构地区：[1]沈阳大学建筑工程学院,辽宁沈阳110044 [2]沈阳市土地整理中心,辽宁沈阳110000

出　　处：《沈阳大学学报（自然科学版）》2018年第1期25-30,共6页Journal of Shenyang University：Natural Science

摘　　要：为满足城市开发与建设中工业遗产价值评定的需求,建构了基于BP神经网络的工业遗产评价模型,从而可形成全面、快速而准确的工业遗产评价方式.首先对工业遗产评价理论体系进行完善,建立起科学的评价标准,并邀请专家进行评价,形成样本,然后通过大量样本进行训练,得出基于遗传算法的BP神经网络的工业遗产评价模型.结果表明,输入不同工业遗产的资料,模型能够模拟专家们的评价方式,最终判定工业遗产的价值等级.To meet the needs of industrial heritage value evaluation during urban development and construction,the evaluation model of industrial heritage based on BP neural network was established,to form a comprehensive,rapid and accurate evaluation method for industrial heritage.First of all,the industrial heritage evaluation theory system was improved,and a scientific evaluation criterion was established,then experts were invited to evaluate and get the samples;then,through a large number of samples for training,the industrial heritage evaluation model was established based on genetic algorithm and BP neural network.The results show that,inputting the information of different industrial heritage,it can decide the value level of industrial heritage by simulating experts' methods.

关 键 词：工业遗产 BP神经网络 遗传算法 价值 评价 

分 类 号：TU-05[建筑科学—建筑理论]