The Application of Genetic Algorithm and Neural Network in Construction Cost Estimate

被引：0
|
作者：
Feng, WenFeng [1 ]
Zhu, WenJuan [1 ]
Zhou, YuGuang
机构：
[1] Henan Polytech Univ, Sch Comp Sci & Technol, Jiaozuo, Peoples R China
来源：
THIRD INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY WORKSHOPS (ISECS 2010) | 2010年
关键词：
neural network; BP algorithm; genetic algorithm; optimization; construction cost estimate;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
During the process of construction cost estimate, BP (back propagation) neural network has a great application. Genetic algorithm optimizing BP has been proposed to aim at handling locality minimum and low convergence speed. The method based on analyzing the basic fundamental states that how to use genetic algorithm to improve the ability of BP. After optimizing, the GABP model has been built up. 18 project cases and 2 testing samples are put into the model to observe generalize ability. Comparing with general BP model, the result of GABP model can get lower forecast error and iterations. For these reason, GABP model is appropriate for construction cost estimation.
引用
收藏
页码：151 / 155
页数：5
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