Using Artificial Neural Networks to Model Bricklaying Productivity

Bokor, Orsolya, Florez Perez, Laura, Pesce, Giovanni and Gerami Seresht, Nima (2021) Using Artificial Neural Networks to Model Bricklaying Productivity. In: 2021 European Conference on Computing in Construction. UNSPECIFIED. (In Press)

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Abstract

The pre-planning phase prior to construction is crucial for ensuring an effective and efficient project delivery. Realistic productivity rates forecasted during pre-planning are essential for accurate schedules, cost calculation, and resource allocation. To obtain such productivity rates, the relationships between various factors and productivity need to be understood. Artificial neural networks (ANNs) are suitable for modelling these complex interactions typical of construction activities, and can be used to assist project managers to produce suitable solutions for estimating productivity. This paper presents the steps of determining the network configurations of an ANN model for bricklaying productivity.

Item Type: Book Section
Subjects: G700 Artificial Intelligence
K900 Others in Architecture, Building and Planning
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 24 Jun 2021 12:29
Last Modified: 26 Jul 2021 03:30
URI: http://nrl.northumbria.ac.uk/id/eprint/46528

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