Improving consumption estimation of electrical materials in residential building construction
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- 作者：Raphael Negri Miliona ; negri.r@gmail.com" class="auth_mail" title="E-mail the corresponding author ; José ; Carlos Paliaria ; jpaliari@ufscar.br" class="auth_mail" title="E-mail the corresponding author ; Luisa H.B. Libonib ; luisa.liboni@usp.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Building material consumption ; Estimation ; Electrical systems ; Intelligent systems ; Artificial neural network ; Data mining ; Feature selection ; Information extraction
- 刊名：Automation in Construction
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：72
- 期：part_P2
- 页码：93-101
- 全文大小：828 K
文摘
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Method for estimating the consumption of electrical materials using intelligent systems.
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Improved performance when compared to traditional methods and available in early project phases.
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It was demonstrated that feature selection algorithms and outlier protection methods are efficient.
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Estimation problem is highly correlated to features regarding building standards without causal relation.