| 基于径向基函数神经网络的工程造价估算 |
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| 引用本文： | 刘书贤,段晓牧,杨建平. 基于径向基函数神经网络的工程造价估算[J]. 辽宁工程技术大学学报(自然科学版), 2005, 24(2): 208-210 |
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| 作者姓名： | 刘书贤 段晓牧 杨建平 |
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| 作者单位： | 辽宁工程技术大学,土木建筑工程学院,辽宁,阜新,123000;辽宁工程技术大学,资源与环境工程学院,辽宁,阜新,123000 |
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| 摘 要： | 提出了一种更有效的前向网络——径向基函数(RBF)神经网络，以多、高层办公楼为例，建立了工程造价的估算模型，运用MATLAB语言程序实现，同时采用同样的样本对BP网络进行训练，两者结果比较表明，这种方法弥补了BP网络存在的收敛速度慢，易陷入局部最优等缺陷，从而大大提高了其实用性，是对造价估算方式的又一新的尝试。
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| 关 键 词： | 径向基函数 神经网络 工程造价 造价估算 |
| 文章编号： | 1008-0562(2005)02-0208-03 |
| 修稿时间： | 2003-07-28 |
Project investment estimation based on radial basis function neural network |
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| LIU Shu-xian,DUAN Xiao-Mu,YANG Jian-ping. Project investment estimation based on radial basis function neural network[J]. Journal of Liaoning Technical University (Natural Science Edition), 2005, 24(2): 208-210 |
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| Authors: | LIU Shu-xian DUAN Xiao-Mu YANG Jian-ping |
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| Abstract: | This paper proposes a new and more effective feed forward network called radial basis function neural network: with high office buildings as examples a project investment estimation model is built. The model is realized by MATLAB. At the same time BP network is trained with the same samples. The two compared results indicate that this method remedy BP network flaw, and improve its applicantion. It is a attempt for the means of the cost estimation and the result is feasible and is reliable. |
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| Keywords: | project investment neural network radial basis function neural network investment estimation |
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