摘要
为进一步推动我国装配式建筑全产业链的高质量发展,收集山东省17个地市的集成应用类与部品生产类装配式建筑产业基地指标数据,选取集成应用类基地10个计算指标与部品生产类基地15个计算指标,构建使用SoftMax函数作为输出层激活函数的BP神经网络计算模型,分析了产业基地对装配式建筑全产业链构建的整体支持度,并利用SPSS软件进行检验。结果表明:山东省集成应用类与部品生产类产业基地对全产业链支撑程度较高,且具备优化装配式建筑全产业链的基础条件。
This paper aims to further promote the high-quality development of the whole industrial chain of prefabricated buildings in China.Firstly,the indicator data of the integrated application type and component production type of prefabricated construction industrial bases in 17 cities of Shandong Province were collected.Secondly,10 calculation indicators of the integrated application base and 15 calculation indicators of the component production base were selected to construct a BP neural network calculation model using SoftMax function as the activation function of the output layer.Thirdly,The proposed model was used to explore the overall support of the industrial base for the construction of the whole industrial chain of prefabricated buildings,and SPSS software was used for inspecting the model.The results show that the integrated application type and component production type of industrial bases in Shandong Province have a high degree of support for the whole industrial chain,and possess the basic conditions to optimize the whole industrial chain of prefabricated buildings.
作者
范培岩
纪凡荣
南云泉
FAN Peiyan;JI Fanrong;NAN Yunquan(School of Management Engineering,Shandong Jianzhu University,Jinan 250101,China;School of Surveying and Mapping Geographic Information,Shandong Jianzhu University,Jinan 250101,China)
出处
《工程管理学报》
2023年第2期19-24,共6页
Journal of Engineering Management
基金
山东省重点研发计划(重大科技创新工程)项目(2021CXGC011204)
山东省住房和城乡建设厅委托课题(SDZJ21000120210805)。
关键词
装配式建筑
全产业链
产业基地
BP神经网络
pprefabricated building
whole industry chain
industrial base
BP neural network
