基于遗传算法优化极限学习机的绿色建筑投资估算方法  

Investment Estimation Method of Green Building Based on the Optimization of Extreme Learning Machine by Genetic Algorithm

作　　者：胡庆国[1,2] 田学泽 何忠明[1,2] HU Qingguo;TIAN Xueze;HE Zhongming(Hunan Provincial Key Laboratory of Construction,Operation and Maintenance Management of Transportation Infrastructure,Changsha University of Science and Technology,Changsha 410114,China;School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学交通基础设施智慧建造与运维管理湖南省高校重点实验室,湖南长沙410114 [2]长沙理工大学交通运输工程学院,湖南长沙410114

出　　处：《建筑经济》2020年第10期125-130,共6页Construction Economy

摘　　要：鉴于绿色建筑造价高于传统建筑,且易出现投资失控等问题,在综合考虑绿色建筑类型、星级、增量成本等12个特征指标的基础上,充分结合遗传算法(GA)与极限学习机(ELM)的各自优点,构建基于GA-ELM的绿色建筑投资估算模型。运用MATLAB软件进行仿真实验,对绿色建筑的投资估算进行预测研究,并将其与ELM、BP神经网络预测结果进行对比。In view of the fact that the cost of green buildings is higher than the cost of traditional buildings,and it is prone to runaway investment,etc.Based on comprehensive consideration of 12 characteristic indicators such as green building type,green building star rating,and green building incremental cost,fully combining the respective advantages of genetic algorithm(GA)and extreme learning machine(ELM),the paper constructs a green building investment estimation model based on GA-ELM.Using MATLAB software to carry out simulation experiments,predicts investment of green building,and compares with ELM and BP neural network.

关 键 词：绿色建筑 投资估算 遗传算法 极限学习机 BP神经网络 

分 类 号：F407.9[经济管理—产业经济]