[1]朱宾梅,颜梦颖,张 浩.基于神经网络工程项目成本风险分析与评价[J].西安建筑科技大学学报:自然科学版,2012,44(05):744-748.[doi:10.15986/j.1006-7930.2012.05.024]
　ZHU Bin-mei,YAN Meng-ying,ZHANG Hao.Analysis and evaluation of construction project cost-riskon the basis of neural network[J].J.Xi’an Univ. of Arch. & Tech.:Natural Science Edition,2012,44(05):744-748.[doi:10.15986/j.1006-7930.2012.05.024]
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基于神经网络工程项目成本风险分析与评价()
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西安建筑科技大学学报:自然科学版[ISSN:1006-7930/CN:61-1295/TU]

卷:
44
期数:
2012年05期
页码:
744-748
栏目:
出版日期:
2012-10-31

文章信息/Info

Title:
Analysis and evaluation of construction project cost-riskon the basis of neural network
文章编号:
1006-7930(2012)05-0744-05
作者:
朱宾梅; 颜梦颖; 张 浩
(西安建筑科技大学管理学院,陕西 西安 710055)
Author(s):
ZHU Bin-mei;  YAN Meng-ying;  ZHANG Hao
(School of Management, Xian University of Architecture and Technology, Xian 710055, China)
关键词:
成本风险; 神经网络; 分析; 评价
Keywords:
cost-Risk;  neural network;  analysis;  evaluation
分类号:
TU-9
DOI:
10.15986/j.1006-7930.2012.05.024
文献标志码:
A
摘要:
从工期、质量和成本三要素之间的关系出发,分析业主、施工单位、设计院和监理方四个利益相关方的不当行为对工程项目成本所产生的影响,得到工程项目成本风险因素,通过建立工程成本风险分析模型,运用人工神经网络对工程项目总成本风险进行评价,得到总成本风险对于各风险因素的敏感度,确定最为敏感因素,为项目管理人员进行工程成本风险管理提供依据
Abstract:
From at the perspective of project management, this thesis, according to the relationships among stakeholders of the project, analyzes how the cost of the project may be influenced by the faulty action of them. Then the influencing factors of project cost, by which the analysis model of construction projection cost was set up, will be found. With artificial neural network and analysis model, the total cost-risk of the construction project and the most sensitive project cost-risk factors were determined, so that project management could reduce the cost risk

参考文献/References:

[1] 杨广民.工程项目成本风险分析与成本控制的有效途径[J].中小企业管理与科技,2010(4):10-11.
YANG Guang-min.Valid Ways of Construction Project Cost-Risk Analysis and Cost Control[J].Management & Technology of SME,2010(4):10-11.
[2] 林晓枝.工程建设项目成本风险分析与管理[J].福建工程学院学报,2006(4):57-59.
LIN Xiao-zhi.Cost risk analysis and management of construction projects[J].Journal of FuJian University of Technology,2006(4):57-59.
[3] 中国建设工程造价管理协会.建设项目全寿命周期成本控制理论与方法[M].北京:中国计划出版社,2007:42-124.
China Engineering Cost Association.The Life-Cycle Cost Control Theory and Method of Construction Project[M].Beijing:China Plans to Press,2007:42-124.
[4] 孟庆钧.监理在工程建设中有效控制成本的作用[J].建筑经济,2004(3):76-77.
MENG Qing-jun.The Role of Supervisors in Effective Cost Control of Construction Project[J].Construction Economy,2004(3):76-77.
[5] 张文朗.基于神经网络的变形预报方法研究[J].测绘与空间地理信息,2011(2):151-153.
ZHANG Wen-lang.Research on the Method of Deformation Prediction Based on Neural Network[J].Geomatics & Spatial Information Technology,2011(2):151-153
[6] 朱宾梅.基于精益思想的建筑企业成本管理的新脉络.[J].建筑经济,2007(6):89-91.
ZHU Bin-mei.New Thread of Construction Enterprise Cost Management Based on the Idea of Lean.[J].Construction Economy,2007(6):89-91.

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[1]原思聪１,江祥奎２.基于ＧＡ－ＢＰ神经网络的双目摄像机标定[J].西安建筑科技大学学报:自然科学版,2011,43(04):604.[doi:DOI:10.15986/j.1006-7930.2011.04.009]
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备注/Memo

备注/Memo:
收稿日期:2012-04-09 修改稿日期:2012-10-09
作者简介:朱宾梅(1962-),女,陕西西安人,副教授,主要从事工程项目成本管理及工程财务方面的研究
更新日期/Last Update: 2015-09-01