中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2005, Vol. 24 ›› Issue (4): 129-132.

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The research of application of constructional engineering cost estimation by neural network ensemble

ZHOU Qi-ming1 , WANG Miao2 , REN Hong1   

  1. 1.Faculty of Construction Management & Real Estate, Chongqing University. Chongqing 400045, China; 2.Futian Audit Buarea of Shenzhen City, Shenzhen 518048, China
  • Received:2004-06-28 Online:2005-08-15 Published:2015-05-18

神经网络集成在工程造价估算中的应用研究

周其明1,汪淼2,任宏1   

  1. 1.重庆大学建设管理与房地产学院,重庆400045;2.广东省深圳市福田区审计局,广东深圳518048
  • 作者简介:周其明(1974一),男,江西泰和人,博士生,从事工程项目、工程造价管理方面研究.

Abstract: Engineering cost and main quantities are the important economy index evaluating construction projects. It is important to quickly estimate engineering cost and main quantities since July.1 2003 when the Bill of Quantity is put into practice in our country. In this paper, neural network ensemble, a new method, is presented to estimate the cost and main quantities. Matlab 6.1 is used in this research to analyze the evaluation model. It is accurate and valuable in practice testified by the prototyp

Key words: neural network, BP neural network, neural network ensemble, engineering cost, quickly estimation

摘要: 工程造价和主要工程量是评价一建筑工程的重要经济指标,特别是工程量清单于2003年7月1日在全国范 围内展开以来,快速估算工程造价和主要工程量更具有其重要意义。文中采用神经网络集成方法建立了工程造价 和主要工程量估算数学模型,并采用maflab6。1计算软件,以深圳市已完典型工程资料为例,验证了该模型的正确 性及实用性,得出了神经网络集成方法泛化能力更高的结论

关键词: 神经网络, BP神经网络, 神经网络集成, 工程造价, 快速估算

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