基于粗糙集理论的建筑工程成本分析Cost analysis of construction project based on rough set theory
侯文婷
摘要(Abstract)：
传统建筑工程成本分析方法存在运行效率低、收敛性能差,导致成本分析不准确。因此提出基于粗糙集理论的建筑工程成本分析方法,构建粗糙集-小波神经网络预测模型,实现建筑工程成本的准确分析,通过粗糙集属性约简过滤掉冗余属性,减少小波神经网络输入节点,降低网络结构的复杂性,提高网络训练效率和精度。利用此预测模型,将采集到的建筑工程成本干扰因素通过粗糙集理论实施约简处理,将约简的因素作为小波神经网络的节点输入训练网络,得到建筑工程成本的分析结果。实验结果说明,所提方法具有较高的运行效率和收敛性能,能够对建筑工程成本进行快速、准确的分析。
关键词(KeyWords)： 粗糙集理论;建筑工程;成本分析;小波神经网络;约简;冗余属性
基金项目(Foundation):
作者(Author): 侯文婷
DOI: 10.16652/j.issn.1004-373x.2018.19.020
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