Using machine learning to analyze and predict construction task productivity-Reference-Cited by-同舟云学术

Using machine learning to analyze and predict construction task productivity

Published:2022-01-10 Issue:12 Volume:37 Page:1602-1616
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer aided Civil Eng

Author:

Florez‐Perez Laura¹,Song Zhiyuan²,Cortissoz Jean C.³

Affiliation:

1. Bartlett School of Sustainable Construction University College London London UK

2. Department of Computer Science University College London London UK

3. Department of Mathematics Universidad de los Andes Bogotá DC Colombia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12806

Reference86 articles.

1. Neural Networks in Civil Engineering: 1989–2000

2. Enhanced probabilistic neural network with local decision circles: A robust classifier

3. An Artificial neural networks (ANN) model for evaluating construction project performance based on coordination factors

4. A dynamic ensemble learning algorithm for neural networks

5. Artificial intelligence in architecture: Generating conceptual design via deep learning

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