Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine-Reference-Cited by-同舟云学术

Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine

Published:2021-03 Issue: Volume:35 Page:101973
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Cheng Min-Yuan,Cao Minh-Tu,Jaya Mendrofa Aris Yan

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference51 articles.

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4. Assessing the impact of materials tracking technologies on construction craft productivity;Grau;Autom. ConStruct.,2009

5. Development of the construction productivity estimation model using artificial neural network for finishing works for floors with marble;Alzwainy;ARPN J. Eng. Appl. Sci.,2012

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