Application of RBF Neural Network in Cost Estimation of Construction Project

摘要：

Based on analysis of the factors that influence the cost of construction projects, the cost estimation model of radial basis function neural network was set up. The nearest neighbor-clustering algorithm was adopted to decide the width of radial basis function, the cluster centers chosen, and the weight values were calculated. The factors that influence the construction projects cost were used as the input data of the model, and the RBF neural network output the investment estimation. The predicted results show that the radial basis function neural network model has faster calculating speed and higher predicting accuracy, which can provide basis for cost Estimation for construction projects.

关键词： Radial Basis Function Neural Network Cost Estimation

作者: WANG XinZheng HE Ping ZHANG Jianyang

作者单位: School of Civil Engineering, Nanyang Normal University, P.R.China, 473061 School of Fine Arts and Arts Design, Nan Yang Normal University, P.R. China, 473061 Network Center, Nan Yang Normal University, P.R.China, 473061

会议类型: 国际会议

会议名称: The 5th International Conference on Management Technology(2010年第五届太原技术管理国际研讨会)

会议地点: 太原

会议语种:英文

页码: 473-477

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）